Location: Minnesota City, United States
Intellect Care (Counselling/ Psychotherapy) is a collaborative process to guide, explore and/or resolve personal, social, or psychological problems and difficulties.
Counselling is most useful when clients seek tools or techniques to support their mental health. Psychotherapy identifies unhelpful patterns of thinking and behaviours which may limit the client's quality of life or daily activities and equip clients with more helpful and effective ways of thinking, behaving and relating to others. This addresses moderately severe mental health experiences. Intellect Care normally spans up to 60 minutes
Why Join Us?
Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges.
What You'll Do
Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients
Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more
Partner with our internal clinical team to improve the platform and client programs
Requirements
Qualifications:
Counsellor: Minimum Masters Degree in Counselling / Counselling psychology with a minimum of 300 hours of counselling experience post qualification & practicum/ placement/ internship
Clinical Psychologist: Minimum Masters Degree in Clinical psychology with a minimum of 300 hours of Clinical/Therapy experience post qualification & practicum/ placement/ internship.
PhD or PsyD
Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT)
License: Must hold valid and active licenses applicable to the country of practice
Experience: A minimum of 300 clinical hours post-master’s degree
Languages: Proficiency in English
Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles
Location: Cikarang Utara, Indonesia; Jakarta, Indonesia
You will be a practitioner on our telehealth platform 'Intellect', where your role is to support our clients' mental health and personal growth based on the individual needs and goals. This is delivered primarily through scheduled 60-minute video sessions on our platform.
This is a freelance remote role with the flexibility to decide your business hours. Local candidates are preferred but others can still be considered. This role is a great opportunity to supplement your current job or private practice.
We're seeking to partner with Clinical Psychologists and Counsellors to be part of a community working collaboratively to bring greater mental health access to the public to provide mental health coaching
What You'll Do
Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients
Focus on clinical cases such as depression, anxiety, trauma, schizophrenia, eating disorders, addiction etc.
Collaboratively work with the internal clinical team by suggesting improvements to the program and the platform
Requirements
Has a Master / Postgraduate Diploma training in Counselling or Clinical Psychology
Candidates must be skilled in Cognitive Behavioural Therapy or other evidence-based approaches (e.g. Motivational Interviewing, DBT, SFBT, etc.)
Candidate must have at least 300 clinical hours post masters degree
Candidate can communicate in English and their local language
Candidates with prior experience in EAP, counselling working adults or coaching managerial roles is a plus
Candidates who are open to working onsite if necessary is a plus
Location: United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
Overview
You own the data foundation behind how CX Operations understands its performance and how it connects to the broader Fanatics ecosystem. As the Staff Analyst for Ops Ecosystem Analytics, you design and build the architecture, models, and operating standards that make CX Ops ecosystem data in Snowflake trustworthy, scalable, and usable by cross-functional teams, leaders, and by the AI agents we're building on top of it.
This is a hands-on technical role with broad influence. You take raw tables from across the business and turn them into clean, documented, tested models that the rest of the team builds on. You work side by side with Data & Analytics Engineering as well as Strategy teams. You set the SQL and data-modeling bar for the Ops Analytics team without managing anyone. You tell the story of what the data says, regularly presenting to senior leadership and translating architecture decisions and analytical findings into impact they can act on.
We are building toward an AI-first way of operating, and this role is central to it. The right person is technically sharp, relentlessly detail-oriented, and curious about both what the data is saying and how AI changes the way we find and act on answers. You move fast, own ambiguous problems, and hold yourself to a high bar without being told to.
What You'll Do
Data architecture and operations environment
Own the architecture of CX Ops ecosystem data in Snowflake, including schema design, data layers, access patterns, and the operating model that keeps it reliable as it scales.
Decide how ecosystem Ops data should be structured, owned, and governed, and drive alignment with necessary teams, like Data Engineering, on those decisions.
Consolidate overlapping or one-off datasets into shared, well-governed sources of truth, and set naming and documentation conventions.
Define and track data quality standards for Ops ecosystem data.
Build alerting on critical metrics as needed so issues are caught before they reach leadership reporting.
dbt and analytics engineering
Turn raw cross-domain tables into clean, tested, reusable dbt models that the whole team can build on.
Own the team's core models and introduce data tests, code review practices, and modeling standards that catch issues before they reach stakeholders.
Review teammates' SQL, models, and dashboards for correctness, performance, and readability, and coach analysts on best practices.
Replace manual, one-off data pulls with automated, always-on solutions.
Analytical work and insights
Lead complex, cross-functional analyses from an ambiguous business problem through scoping, analysis, and a decision-ready recommendation, without formal authority over contributors.
Diagnose root causes rather than symptoms, and surface trends, anomalies, and risks without waiting to be asked.
Support scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions.
Set the standard for publication-ready dashboards and reporting, with clearly defined KPIs and documented assumptions.
Communication and influence
Present findings, architecture decisions, and impact to Ops and senior leadership. Take a high-uncertainty situation and communicate what you know, what you don't, and what you recommend.
Build the narrative around the data so stakeholders understand not just what the numbers say but what to do about them.
Mentor and support analysts across the team through standards, reviews, and knowledge sharing.
AI enablement
Make sure agents are built on validated, trusted data foundations, and contribute the data models and evaluation rigor they need before they move to build.
Track the performance of deployed agents against Ops goals.
Bring a point of view on where AI can be trusted in analytical workflows and where human judgment needs to stay in the loop.
Required Qualifications
5+ years in analytics, analytics engineering, business intelligence, or strategic operations.
Advanced, hands-on SQL.
You write, QA, and optimize complex queries and set the standard others are held to. This role includes a live, on-screen technical exercise.
Strong dbt experience.
You have designed model layers, written tests, and made sound architectural decisions, not just maintained existing models.
Demonstrated experience designing or owning a data environment in a cloud data warehouse (Snowflake preferred), including schema design, governance, and data quality.
Experience working closely with data or analytics engineering teams to turn raw data into production-ready models.
Strong executive communication. You have presented analysis and recommendations to senior leaders and can defend your methodology under scrutiny.
Experience owning complex, cross-functional projects end to end.
Experience building dashboards in Sigma, Tableau, or a comparable tool.
High attention to detail. You catch data quality issues before they surface in leadership reporting.
Comfortable in fast-paced, ambiguous environments with shifting priorities.
Preferred Qualifications
Experience supporting AI/ML workflows, agent builds, or automation initiatives.
Python or a similar scripting language for data manipulation and automation.
Familiarity with operational KPIs across customer support, fraud, payments, or workforce management.
Experience in gaming, fintech, or sports, or another operationally intensive, high-volume environment.
Bachelor's degree in Analytics, Computer Science, Statistics, Economics, or a related field.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$160,000
—
$200,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: USA - Philadelphia (dbt)
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re seeking an experienced Resident Solution Architect with a passion for solving challenging problems with dbt to join our Professional Services team. RSAs are billable to dbt Platform Enterprise customers and help achieve our mission to empower data developers to create and disseminate organizational knowledge.
This is a full-time position based in the United States, with a focus on MST, CST, and EST timezones.
Technologies You’ll Use
dbt Platform and dbt Core
for data modeling, testing, documentation, development workflows, and jobs
SQL and Jinja
for building and maintaining data transformations;
Python
for scripting and integrations as needed
Cloud data platforms
, such as Snowflake, Databricks, BigQuery, or Redshift
Git and GitHub
, including branching, pull requests, and
CI/CD
workflows
Data ingestion and integration tools
, including Fivetran, plus APIs and connectors
Cloud and orchestration tools
used in customer environments; the specific tools will vary by engagement
What You’ll Do
Work on a variety of impactful customer technical projects — inclusive of implementation, troubleshooting configurations, instilling best practices, and solutioning MVPs and long term solutions to customer specific requirements
Consult on architecture and design
Ensure our most strategic dbt platform customers are adopting the product
Collaborate with other internal customer facing teams at dbt Labs - Sales, Solution Architects, Training, Support
Provide critical feedback to dbt Labs product and engineering teams to improve and prioritize customer requests and ensure rapid resolution for engagement specific issues
Become a product expert with dbt in the context of the modern data stack (if you aren't already)
You are a good fit if:
You have deep experience working with enterprise customers across a variety of use cases, ideally in a customer-facing post-sales, technical architect, or consulting role
You have deep expertise in at least one data platform (Snowflake, Databricks, BigQuery, Redshift)
You have at least 2 years of experience with dbt, ideally including 1 year with dbt platform
You are proficient in writing SQL and have some python experience
You look forward to building skills in technical areas that support deployment and integration of dbt platform solutions to complete customer projects
You are customer focused - embracing one of our core values that users are our best advocates
You are highly organized. Comfort with technical project delivery - managing scope, timelines, and deliverables - this role will be staffed on multiple engagements at once
You communicate clearly and concisely with internal and external stakeholders - demonstrating a capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions
You thrive in a remote organization that highly values transparency and cross-collaboration
~10% travel should be expected (occasional customer visits, company retreat and offsites)
Bonus Skills
You have obtained the
dbt Analytics Engineering Certification
You have the ability to advise on dbt Platform recommendations, and build direction/consensus with the customer to move forward
Experience with traditional Enterprise ETL tooling (Informatica, Datastage, Talend)
#LI-REMOTE
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$167,983
—
$190,000 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Manager Sales Engineering Specialists to oversee our data platform Specialists functions. In this role, you will work alongside global Sales Engineering leadership to leverage a team of technical experts to accelerate our most complex enterprise deals, drive customer adoption after the sale, and improve the efficiency of the Sales Engineering motion at large. As customers build toward AI and agentic workloads, you will keep your team ahead of what those workloads demand of the data platform.
You will need a deep understanding of how modern data movement and transformation platforms like ours are architected, including the AI use cases built on top of them, and a keen ability to lead a team of highly specialized resources. You will be tasked with developing and retaining experienced, high-performing talent who can speak the language of enterprise architects, data engineers, and data platform owners, and with hiring where the team needs to grow.
This is a full-time position based in the US.
Technologies You’ll Use
Fivetran, dbt, Enterprise databases and applications (including SAP), cloud data warehouses and lakehouses (Snowflake, BigQuery, Databricks), open table formats (Apache Iceberg), dbt, SQL, reverse ETL, AI and agent tooling, AWS, GCP, Azure
What You’ll Do
Lead a team of tenured experts across our data platform specialties to act as technical liaisons between Sales Engineering, Sales, Product, and Engineering.
Support Global Sales teams by proactively embedding specialist functions to remove technical blockers in complex enterprise deals and in customer adoption after the sale.
Implement strategies to maximize deal velocity and customer adoption by streamlining how specialists are engaged, prioritized, and measured.
Execute hands-on tasks when needed, including architecture reviews, critical customer calls, or complex proofs of value.
Ensure the team provides timely, strategic, and accurate guidance during technical evaluations and customer escalations.
Build strong working relationships with strategic internal partners, including Product, Engineering, and other sales teams.
Coach team members to maximize performance and efficiency, and prepare them for future roles.
Ensure the team shares specialist knowledge across the field through enablement and documentation.
Keep the team current on how AI and agentic workloads change customer requirements, and turn that into field guidance.
Skills We’re Looking For
People Leadership:
Proven experience leading and developing a Sales Engineering, Solution Architecture, or other technical team, with people management experience preferred.
Technical Depth:
Hands-on expertise in one or more areas across the data lifecycle, such as database and application replication, SAP, lake and warehouse architectures, transformation, activation, or AI and context engineering, and the breadth to credibly lead specialists in other disciplines. Experience applying a narrower specialty across several of these areas also counts.
Cloud and Data Architecture:
Proficiency with major cloud providers (AWS, GCP, Azure), specifically regarding deployment and connectivity, and with modern data architectures, including cloud data warehouses and lakehouses.
AI Fluency:
Working understanding of how AI and agentic workloads change customers' data requirements, and fluency using AI tools to scale your own and your team's work.
Technical Sales Acumen:
Extensive Sales Engineering or specialist experience supporting complex enterprise sales cycles, including proofs of value and senior stakeholders, and deep knowledge of the broader technical sales and demonstration process.
Communication Skills:
Best-in-class ability to explain complex data and AI concepts to non-technical buyers and technical architects alike, and to influence Product and Engineering priorities with customer evidence.
Bonus Skills
Prior experience at an analytics, ETL, BI, or open-source data software company
Familiarity with dbt, Terraform, or similar tools for transformation and managing cloud infrastructure
Experience managing distributed teams across multiple regions and time zones
Hands-on experience with AI and context engineering, such as LLM applications, MCP, semantic layers, or metadata and retrieval
OTE (On Target Earning)
$212,004.29
—
$294,450.54 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote, New York, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
**THIS MUST BE FILLED OUT PRIOR TO SUBMITTING. Please do not change the headers for each section below.**
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
As a
Staff
Software Engineer
working on dbt Fusion, you’ll help build a next-generation analytics engine written in Rust that significantly improves performance, correctness, and developer experience across dbt workflows. You’ll work on a modern, state-aware execution engine with deep SQL understanding across multiple warehouses, enabling faster debugging, smarter orchestration, and more efficient large-scale deployments.
This role offers the opportunity to contribute to both open source and commercial code while shaping the future of dbt’s core platform.
This position is a
unique opportunity to work on mission-critical projects that will significantly improve the experience of our customers and developers
. You’ll help build truly differentiated systems and engines that sets us apart from other database technologies.
What You’ll Do
Collaborate with Product, Design, Operations, and Security to deliver well-architected, scalable compute solutions.
Participate in technical architecture discussions with a focus on
query engines, storage systems, and distributed database design.
Build services, APIs, and experiences that support user delight, quality, high availability, and performance.
Tackle ambiguous, open-ended technical challenges with strategic thinking, balancing technical constraints with user needs and product goals.
Drive best practices in testing, observability, and system reliability.
Champion a culture of technical excellence and innovation, influencing engineering direction across multiple teams or domains.
Skills We’re Looking For
Strong coding skills (10+ years) in at least one of the following technologies:
Rust, Python, Go or Java.
Familiarity with cloud infrastructure (AWS, GCP, Azure, Kubernetes, Terraform).
Proven ability to participate in complex projects and collaborate across functions.
Excellent problem-solving skills, clear communication, and a strong sense of ownership.
Interest in
systems, data infrastructure, compilers, or analytical tooling
, even if experience is primarily academic.
Experience working on
non-trivial projects
(coursework, internships, research, open-source, personal projects) that required persistence and iteration.
Willingness and enthusiasm to work across the stack and learn new technologies as the problem demands.
Evidence of being
self-directed and curious
—you proactively learn new tools, languages, or concepts when needed
Bonus Skills
Contributions to open source database technologies projects such as
Apache Arrow, DuckDB, MongoDB Runtime, or other analytical data systems.
Expertise in
database systems, query engines, or storage systems.
Experience with performance optimization, observability, or large-scale query engines.
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a Product Designer who's ready to own features, tackle complex challenges, and help take our core experience to the next level. You'll join Core UX (Enterprise), the team designing how data teams monitor, understand, and trust their pipelines at scale, including observability and alerting. If you're excited to dig into complex design problems while growing alongside talented and experienced designers, this is your moment!
On our tight-knit and supportive team, you won't just push pixels… you'll shape the workflows that help our customers get value from their data. You'll dig deep into user problems, collaborate closely with product and engineering, and contribute to a team that sees design as a key ingredient for success. We value designers who are curious, humble, ambitious, and who proactively jump in, collaborate closely, and help the team drive meaningful progress. If that sounds like you, send us a hello with your portfolio! We'd love to see how you think, how you work, and the impact you've made.
This is a full-time position based out of our Oakland or Denver office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
What You’ll Do
Create compelling designs for features with real complexity, in deep partnership with user researchers, product designers, product managers, and engineers who are passionate about the user's experience.
Use research and data to understand our users deeply, build empathy for their needs, advocate for them, and deliver impactful experiences that connect their goals to business needs.
Shape product direction by partnering closely on requirements discussions with stakeholders.
Bring a point of view and advocate for great UX, even when it's hard, by identifying opportunities to improve the user experience and championing your ideas.
Drive repeated, measurable improvement in key product metrics by iterating quickly, testing early, and refining based on feedback and data.
Approach designs from a systems perspective, developing patterns that get adopted by others.
Contribute elements of UX strategy for your product area, with some direction from your manager and team lead.
Use AI and automation tools to improve delivery velocity.
Skills We’re Looking For
3+ year product design experience with at 1+ year in SaaS, B2B, or enterprise products
A portfolio that shows strong process and design outcomes.
Experience using AI in your design process.
Experience working cross-functionally with product and engineering teams to bring your ideas to life.
Self-motivated mindset. You should thrive in ambiguity, take initiative, and follow through. You'll be trusted with real ownership and responsibility here!
Excited by the opportunity to contribute positively to our design culture and bring your unique voice.
Able to tell compelling stories through presentations that influence teammates and stakeholders across teams.
Driven to understand user problems and how products are actually used. You lean into research, data, and real-world context.
Thoughtful and curious with strong instincts for great UX, always striving to create better experiences.
Open to feedback and eager to keep growing.
Bonus Skills
Experience working in big data, AI, or data analytics.
Experience designing for technical users.
A desire to have fun while building a great product!
#LI-DJ1 #LI-Hybrid
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$157,103
—
$188,531 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About the Team
Fanatics Core is the engineering organization building the shared capabilities, including search, AI, and customer intelligence, that every product across the Fanatics ecosystem builds on. We are seeking an Engineering Manager to lead the team that owns Search and Consumer AI. This leader will own some of the most leveraged surfaces we build: how fans find what they’re looking for, how AI shows up inside our apps, and how AI powers an excellent customer experience.
You will lead a team of software engineers spanning two closely connected charters:
Consumer AI:
customer support AI, including LLM-powered assistants, conversational analytics, sentiment analysis, predictive troubleshooting, and the tooling that lets customer success teams act on AI-generated insights; and (2) embedded AI experiences in the fan journey, such as AI commentary, recommendations, summaries, and in-app assistance.
Search:
native search, including query understanding, relevance and ranking, autocomplete, and personalization; and (2) AI search, including natural-language and conversational search that lets fans ask for what they want in their own words and get answers, not just results.
Success in this role requires strong partnership with Product, Data Science, Customer Operations, and product teams across the ecosystem to shape the roadmap, make smart trade-offs, and deliver outcomes fans feel. You’ll work on complex, high-scale challenges as part of a team that values innovation, collaboration, and excellence.
Responsibilities
Delivery & Ownership
Lead the team to deliver against commitments across Search and Consumer AI, owning delivery plans end to end: scope and sequence work, remove blockers, and manage risk.
Set a high bar for reliability, performance, and relevance quality, with observability in place for AI and search services.
Ensure the team’s work meets Fanatics standards for data governance, security, compliance, and responsible AI.
Own on-call, incident response, and operational health for the team’s systems.
Strategy & Roadmap
Partner with Product and engineering leadership on planning and roadmap building, using technical insight and fan impact to influence priorities.
Connect day-to-day execution to team strategy and Fanatics business goals so engineers understand why their work matters.
Partner with product teams across the ecosystem to embed AI experiences into their surfaces, agreeing on shared ownership, interfaces, and quality bars.
Guide how LLMs and ML models are evaluated, integrated, and rolled out in production.
Communication & Collaboration
Coordinate across engineers, adjacent teams, and cross-functional partners to drive end-to-end delivery.
Represent the team’s plans, progress, and risks in planning and review forums.
Keep the team informed on goals, trade-offs, and decisions, and create space for two-way feedback.
People & Ways of Working
Hire, onboard, and grow a high-performing team; give candid, timely feedback and invite the same.
Mentor engineers on craft, ownership, and collaboration, and support their career growth.
Build team processes (planning, reviews, retros, experimentation) that help the team learn fast and ship reliably.
Must be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team building.
Qualifications
We value aptitude over experience, but here are some key skills that will make you successful on this team:
1-3+ years managing a software engineering team, or significant tech-lead experience with people-leadership responsibilities, delivering complex, high-scale systems.
Experience in a Java / AWS ecosystem; familiarity with AWS Bedrock or equivalent managed AI services preferred.
Experience shipping consumer-facing AI/ML or NLP features to production, including integrating LLMs and building the pipelines and evaluation practices that keep them reliable.
Strong understanding of search, discovery, or relevance systems, including how traditional search and LLM-based approaches complement each other.
Strong technical judgment and clear, confident communication with engineers, Product partners, and leadership.
Proven ability to mentor engineers and build a healthy, high-performing team culture.
Preferred
Background in customer support AI or embedded consumer AI experiences (assistants, conversational analytics, AI commentary, recommendations).
Familiarity with Kafka, Airflow, dbt, OpenSearch, Kotlin, and Salesforce.
Experience building shared platforms consumed by multiple product teams.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-VG1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$190,000
—
$237,500 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Remote - Brazil; Remote; Remote - EMEA
Workplace: Remote
ABOUT US
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
ABOUT THE ROLE
We are hiring Senior Analytics Engineers across multiple teams at Constructor. Wherever you land, you will turn billions of daily events into reliable, usable data products: the pipelines, models, dashboards, and tools that teams and customers depend on to make decisions.
This is not a pure data engineering role — our analytics engineers combine strong technical craft with genuine business understanding, so the data they model answers the questions that actually matter. During the interview process we will get to know your strengths and interests and match you with the team where you can have the biggest impact.
WHAT YOU'LL DO
- Design and build data pipelines and data models that power analytics and reporting
- Build dashboards, reports, and tools that make large-scale behavioral data usable and trustworthy
- Define and validate business metrics together with stakeholders, not just implement them
- Ensure data quality, consistency, and performance across systems processing billions of events
- Partner with analysts, engineers, and product managers to translate business needs into well-designed data solutions
- Work with SQL, Python, and distributed data systems at very large scale
REQUIREMENTS
- Strong experience building data pipelines, data models, and analytics tooling
- Expert-level SQL and experience working with large-scale datasets and distributed data systems
- Experience with Python for data work and tooling
- Experience with modern analytics stacks (e.g. dbt, Airflow, or similar modeling and orchestration tools)
PRODUCT & BUSINESS UNDERSTANDING:
- Experience defining and validating business metrics and understanding why they matter
- Understanding of product funnels and ecommerce metrics (revenue, conversion, engagement)
- Ability to translate stakeholder needs into data models, dashboards, and tools
Communication & ownership:
- Ability to communicate clearly with both technical and business stakeholders
- Comfortable owning an analytics area end to end in a fast-paced environment
Preferred skills:
- Experience building customer-facing or embedded analytics
- Experience working in e-commerce
BENEFITS
- 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact.
- 🎉 Regular team offsite events to connect and collaborate.
- 🌎 Fully remote team - choose where you live.
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office.
- 💻 Apple laptops provided for new employees.
- 🧑🎓 Training and development budget for every employee, refreshed each year.
- 👪 Maternity & Paternity leave for qualified employees.
- 💵 Base salary: $80k–$120K USD depending on knowledge, skills, experience, and interview results
- 📈 Stock options - offered in addition to the base salary
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: Kyiv; Lviv
Workplace: onsite
Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем.
Ми шукаємо фахівця до Operations підрозділу на позицію Data Analyst.
Необхідні знання та навички:
SQL та робота з даними: SQL (JOIN, CTE, Window Functions), Databricks / Spark SQL, Delta Lake, моделювання та перевірка якості даних.
Автоматизація: Google Sheets (QUERY, ARRAYFORMULA, IMPORTRANGE), Apps Script, API.
Інструменти: Jira (JQL, REST API), Confluence, BI-дашборди.
Виробничі процеси: розуміння BOM, NPI, специфікацій, 1С / SAP MM, планування матеріалів і закупівель.
Аналітичні навички: робота з великими обсягами даних, визначення KPI, виявлення помилок і пошук першопричин.
Системне мислення, уважність до деталей, проактивність, самостійність та комунікація.
Буде плюсом:
Досвід роботи з Python (pandas, numpy), ETL-процесами та автоматизацією звітності.
Знання інструментів оркестрації: Airflow, Databricks Jobs.
Досвід роботи з dbt, Unity Catalog, Data Lineage та Data Catalog.
Розуміння процесів планування закупівель, ABC/XYZ-аналізу, Lead Time та прогнозування запасів.
Досвід інтеграції систем через API та Webhooks, створення ботів для Jira.
Досвід роботи з великими наборами даних (CSV / Parquet, 10+ млн рядків).
Навички побудови прогнозних моделей і статистичного аналізу.
Розуміння BPMN, User Stories, Git.
Завдання:
Збирати, обробляти та звіряти дані з різних джерел (РНД-план, 1С, Jira тощо).
Розробляти та підтримувати аналітичні моделі, звіти й BI-дашборди.
Автоматизувати збір, обробку даних і регулярну звітність.
Аналізувати виробничі процеси, потреби в матеріалах, запаси та закупівлі.
Виявляти помилки, розбіжності й операційні ризики, знаходити їхні причини та пропонувати рішення.
Розробляти метрики й KPI для моніторингу ефективності R&D Operations.
Інтегрувати внутрішні системи та автоматизувати обмін даними між ними.
Взаємодіяти з R&D, виробництвом, закупівлями та плануванням для оптимізації процесів.
Пропонуємо:
Можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво;
Місце у стрімко зростаючій компанії з вмотивованою професійною командою;
Конкурентну заробітну плату;
Медичне страхування;
Корпоративні заняття з англійської мови;
Можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax;
Знижки на продукти компанії та партнерів
Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.
Location: Novi Sad, South Bačka, Serbia, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Senior Software Engineer to join
Cloud Signals
, the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product.
Cloud Signals owns:
Billing and usage metering:
turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system.
Vortex, our telemetry and event pipeline:
high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems.
The Notification System:
the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform.
Usage and admin reporting:
giving customers clear visibility into consumption as we move toward consumption-based pricing.
As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build.
Technologies You’ll Use
Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome)
Relational databases (PostgreSQL) and cloud data warehouses (Snowflake)
Event streaming and messaging systems (Kafka or similar)
AWS (plus exposure to GCP or Azure), Docker, and Kubernetes
Terraform for infrastructure as code
Datadog for observability, alerting, and on-call
Third-party billing and payment platforms, plus internal and public REST APIs
AI coding assistants and agents (e.g., Claude Code) as part of everyday development
What You’ll Do
Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production.
Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout.
Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations.
Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost.
Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit.
Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks.
Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team.
Skills We’re Looking For
5+ years building and operating production software, with a passion for solving complex engineering problems
Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity
Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus
Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus
Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems
Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes)
Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar)
Experience with code reviews, testing, and troubleshooting, and with being on-call
Clear written and verbal communication, including writing design docs and working with cross-functional partners
Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals
Bonus Skills
Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe)
Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg)
Experience with notification or messaging platforms (email, in-app, webhooks)
Experience with data processing (ETL/ELT), dbt, or other modern data stack tools
Experience working on SaaS platforms at scale
#LI-IM1
#LI-HYBRID
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Novi Sad, South Bačka, Serbia, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Senior Software Engineer to join
Cloud Signals
, the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product.
Cloud Signals owns:
Billing and usage metering:
turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system.
Vortex, our telemetry and event pipeline:
high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems.
The Notification System:
the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform.
Usage and admin reporting:
giving customers clear visibility into consumption as we move toward consumption-based pricing.
As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build.
Technologies You’ll Use
Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome)
Relational databases (PostgreSQL) and cloud data warehouses (Snowflake)
Event streaming and messaging systems (Kafka or similar)
AWS (plus exposure to GCP or Azure), Docker, and Kubernetes
Terraform for infrastructure as code
Datadog for observability, alerting, and on-call
Third-party billing and payment platforms, plus internal and public REST APIs
AI coding assistants and agents (e.g., Claude Code) as part of everyday development
What You’ll Do
Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production.
Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout.
Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations.
Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost.
Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit.
Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks.
Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team.
Skills We’re Looking For
5+ years building and operating production software, with a passion for solving complex engineering problems
Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity
Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus
Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus
Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems
Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes)
Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar)
Experience with code reviews, testing, and troubleshooting, and with being on-call
Clear written and verbal communication, including writing design docs and working with cross-functional partners
Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals
Bonus Skills
Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe)
Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg)
Experience with notification or messaging platforms (email, in-app, webhooks)
Experience with data processing (ETL/ELT), dbt, or other modern data stack tools
Experience working on SaaS platforms at scale
#LI-IM1
#LI-HYBRID
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Сегодня мы расширяем команду и ищем Инженера данных для работы над внешними проектами в таких сферах, как ритейл, EdTech, банкинг и других. Чем предстоит заниматься Проектировать и разрабатывать потоки данных на ETL/ELT-инструментах;
Location: Kyiv; Lviv
Workplace: onsite
Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації. Кожного року ми демонструємо кратне зростання як у чисельності команди, так і в кількості користувачів у всьому світі.
Ajax Systems має виробництво повного циклу: від генерації ідей та створення прототипів до масового виробництва та продажу по всьому світу. Кожен департамент закриває певну операційну потребу бізнесу в повній мірі. Фахівці компанії залучені на всіх етапах: від виробничої лінії в Україні до логістичного центру в Польщі, звідки продукцію відправляють дистрибʼюторам по всьому світу.
Зараз ми шукаємо Data QA Engineer (Middle) до команди Data Warehouse & Analytics, який допоможе побудувати системний підхід до тестування даних та забезпечити їхню якість на всіх етапах обробки — від джерел до фінальних аналітичних вітрин.
Наша команда працює над розвитком корпоративної платформи даних на базі Databricks, інтеграцією даних із SAP, 1С та інших систем, підготовкою master data для впровадження SAP на міжнародних виробничих майданчиках, а також автоматизацією управлінської та аналітичної звітності.
Це можливість долучитися до побудови процесів Data QA практично з нуля, впливати на підходи до тестування та розвивати автоматизацію перевірок якості даних.
Основні обов'язки:
Побудова та розвиток процесів тестування даних у команді Data Warehouse & Analytics.
Тестування ETL/ELT-процесів та перевірка коректності передачі й трансформації даних із SAP, 1С та інших джерел до Databricks.
Перевірка відповідності даних бізнес-вимогам на всіх етапах обробки: від source-систем до фінальних аналітичних вітрин.
Проведення Data Validation та Source-to-Target Reconciliation для забезпечення точності, повноти й узгодженості даних.
Перевірка бізнес-логіки трансформацій, правил обробки та збагачення даних.
Виявлення дублів, пропущених записів, некоректних значень та інших аномалій у даних.
Розробка та підтримка тест-кейсів, тестових сценаріїв і правил перевірки якості даних.
Побудова та розвиток автоматизованого тестування даних, зокрема регресійних перевірок.
Перевірка коректності даних після змін у data pipelines, структурах даних і бізнес-логіці.
Участь у тестуванні процесів підготовки master data для впровадження SAP.
Аналіз причин розбіжностей у даних та взаємодія з Data Engineers, Business Analysts і суміжними командами для їх усунення.
Участь у вдосконаленні підходів до Data Quality та підвищенні надійності процесів обробки даних.
Наші очікування:
Від 2 років комерційного досвіду в Data QA, ETL QA, DWH QA або Software QA зі значним фокусом на тестуванні даних.
Впевнене володіння
SQL
: самостійне написання запитів, робота з JOIN, CTE, фільтрацією, агрегацією та вибірками з декількох таблиць.
Знання
Python
та розуміння можливостей його використання для тестування й автоматизації перевірок даних.
Розуміння принципів Quality Engineering та практичних підходів до побудови процесів тестування.
Розуміння ETL/ELT-процесів, архітектури Data Warehouse та життєвого циклу даних.
Знання принципів Data Quality, Data Validation, Data Reconciliation та Data Governance.
Досвід перевірки коректності трансформацій даних і відповідності результатів бізнес-вимогам.
Розуміння принципів регресійного тестування та автоматизації тестових перевірок.
Розвинені аналітичні навички, здатність самостійно розбиратися у складній бізнес-логіці та знаходити причини проблем із даними.
Проактивність, системність, конструктивна комунікація та здатність організовувати роботу в умовах динамічних пріоритетів.
Англійська мова на рівні від
Intermediate
для роботи з документацією та комунікації з міжнародними командами.
Буде перевагою:
Практичний досвід автоматизації Data Quality / Data Validation тестів.
Досвід роботи з
Databricks, PySpark, Spark
.
Досвід роботи з Python-based testing frameworks, pytest, Great Expectations, dbt tests, Soda або аналогічними інструментами.
Досвід тестування інтеграцій SAP з DWH або іншими корпоративними платформами даних.
Досвід побудови процесів тестування з нуля.
Розуміння CI/CD та досвід інтеграції автоматизованих тестів у процеси розробки.
Досвід роботи з великими обсягами даних і багатоджерельними інтеграціями.
Досвід роботи з BI-рішеннями, зокрема Power BI.
Що пропонуємо:
Участь у масштабних міжнародних проєктах із розвитку корпоративної платформи даних.
Можливість побудувати та розвивати напрям Data QA, впливаючи на інструменти й підходи до тестування.
Роботу із сучасним технологічним стеком: Databricks, Python, SQL, PySpark.
Співпрацю з командою Data Engineers, SAP-спеціалістів та бізнес-аналітиків.
Можливість професійного розвитку на перетині Quality Engineering, Data Engineering та Business Analytics.
Роботу в одному з наших комфортабельних офісів. Офіс облаштований генератором та укриттям.
Офіційне працевлаштування зі стабільною оплатою та всіма гарантіями Дія Сіті резидента.
Гнучкий графік.
Компенсація навчання
Заняття англійською.
Медичне страхування.
Комплект системи безпеки Ajax (участь у проєкті бета-тесту — отримання та тестування нових гаджетів до їх релізу).
Драйвову команду та zero bullshit culture.
Долучайтеся, щоб зробити Made in Ukraine синонімом надійності!
United States
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