Дата-инженер вакансии

Миграция в целевую архитектуру данных. Реализация и систематизация ETL-процессов согласно требованиям.

Location: Remote - US About the Job: AI-powered workflows are only as good as the customer data underneath them. LaunchDarkly helps engineering teams ship software faster and more safely through feature management, experimentation, and AI delivery tooling. As our GTM Data Governance Manager (MDM), you will  set the rules that make our core customer data (accounts, contacts, subscriptions, and users) accurate, consistent, and trusted across Salesforce, our billing and finance systems, marketing automation, product usage data, and the data warehouse. This is an individual contributor role with real ownership of the data model and its standards. You will partner with Data Engineering, GTM Systems, Finance Systems, Legal, and Security to put those standards into production. Your work is the foundation for reliable reporting, accurate territory and segmentation, clean pipeline attribution, and the AI workflows that depend on high-quality data. Responsibilities: Own the MDM roadmap and operating model for the account, contact, and organization hierarchy domains. Define golden record rules: matching, merging, survivorship, and parent/child hierarchies across CRM, billing, product, and support systems. Set data governance standards, including ownership, stewardship roles, definitions, and quality SLAs, in partnership with Sales, Marketing, Finance, and Customer Success. Run the processes for onboarding new data sources, handling change requests, and managing lifecycle events such as mergers, acquisitions, and customer reorganizations. Design and monitor data quality rules, scorecards, and dashboards covering completeness, accuracy, duplication, and timeliness. Drive remediation and report data health, risks, and progress to leadership with clear metrics and business impact. Specify integration patterns and acceptance criteria across Salesforce, the data warehouse, and enrichment providers, and work with Data Engineering and GTM Systems to build them. Recommend build vs. buy for MDM, identity resolution, enrichment, and data quality tooling. Provide trusted, well-documented data products for analytics and AI use cases. Act as the data owner with Legal and Security on PII handling, GDPR and CCPA requirements, retention, and access controls. Who You'll Work With: Data Engineering and GTM Systems build pipelines and Salesforce configuration. Legal and Security own privacy and security decisions, and you inform them as the data owner. You own the rules, standards, and acceptance criteria that tell everyone else what "correct" looks like. Qualifications: 8+ years of experience in data management, data governance, data engineering, or analytics, including 2+ years leading MDM or data quality programs. Hands-on experience designing match, merge, and survivorship rules and golden record or hierarchy models, with results you can describe. Experience with Salesforce data models and CRM data quality at scale. Experience building and operating a data governance framework: policies, stewardship models, and SLAs. Ability to translate business needs into data requirements and explain technical tradeoffs to non-technical stakeholders. A track record of delivering cross-functional programs without direct authority. Nice to Have Experience at a B2B SaaS company with a product-led or hybrid sales motion, including mapping product users and workspaces to CRM accounts. Familiarity with enrichment and firmographic data, entity matching approaches, and ML-assisted or LLM-assisted matching and cleansing. Working knowledge of data privacy regulations (GDPR, CCPA) and security frameworks such as SOC 2. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $152,900 - $210,210 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $137,600 - $189,200 ** Zone 3: All other US locations - $129,900 - $178,640* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

• Анализ требований: - Прием и анализ входящей документации от заказчиков.

Ваши обязанности: Разрабатывать и поддерживать ETL-процессы для загрузки данных в нашу DWH на Vertica; Проектировать и развивать витрины данных, чтобы аналитики и бизнес-пользователи получали точные и своевременные метрики;

Задачи: — Руководство командой дата-инженеров (распределение задач, декомпозиция) — Выстраивание рабочих процессов и технологических стандартов — Проектирование и развитие архитектуры обработки и хранения данных — Организация сбора и обработки данных для продуктовых команд и аналитиков — Обеспечение качества и своевременной доставки данных — Поддержка BI-команды в задачах, связанных с данными Требования: — Опыт в Data Engineering от 5 лет — Опыт руководства командой либо замещения руководителя — Навыки проектирования хранилищ данных и пайплайнов обработки — Широкий технический кругозор в инструментах работы с данными — Умение выстраивать процессы и взаимодействовать со смежными командами — Продуктовый подход к работе с данными

Вам предстоит: Проектировать и развивать Data Lakehouse платформу; Разрабатывать ETL/ELT пайплайны на базе Spark, DBT и Trino;

Location: Argentina; Ukraine; Poland; Brazil; Georgia; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Data Engineer to join a small, cross-functional engineering team modernizing a data platform for a global financial services client. You’ll be working hands-on with Snowflake and dbt — designing data models, migrating legacy Oracle-based ETL processes, and contributing to architectural decisions alongside client stakeholders. This is a delivery-oriented role with real ownership. You’ll take responsibility for assigned components end to end, participate in client-facing technical discussions, and work directly with both engineering and business teams to define and implement solutions. WHAT YOU’LL DO - Design, develop, and optimize data models and transformation workflows using Snowflake and dbt. - Contribute to the design and implementation of scalable data architecture covering raw through semantic data layers. - Support modernization of existing Oracle-based ETL and reporting processes. - Investigate and address data performance, consistency, and reconciliation challenges. - Develop and maintain data processing, transformation, and automation solutions using Python. - Participate in solution design discussions and contribute to architectural decisions. - Support DevOps-related activities including deployment, configuration, and operational aspects of the data platform. - Take ownership of assigned technical components and deliverables within the team. - Participate actively in client-facing technical discussions and project meetings. REQUIRED SKILLS & EXPERIENCE - Strong hands-on experience with Snowflake — data transformation, modeling, and performance optimization. - Solid understanding of data modeling principles, data architecture, and scalable data solution design. - Practical experience with dbt for developing and maintaining data transformation workflows. - Proficiency in Python for data engineering, scripting, and automation. - Experience with ETL/ELT processes and modern data pipeline development. - Familiarity with DevOps practices and containerized environments including Kubernetes. - Strong analytical and troubleshooting skills around data quality, performance, and reconciliation. - Good communication skills — able to collaborate directly with client stakeholders and participate in regular technical discussions with US-based teams. - English proficiency sufficient for regular technical discussions with US-based teams. PREFERRED QUALIFICATIONS - Experience with Oracle databases, Oracle ETL, and legacy reporting environments. - Prior involvement in data platform modernization or migration from Oracle to Snowflake. - Experience with Power BI and semantic reporting models. - Snowflake professional certification. - Experience designing and optimizing analytical data models for enterprise reporting. - Experience working with distributed, cross-functional engineering teams. - Background in insurance, reinsurance, or financial services. - Availability for occasional business trips to St. Louis, USA — approximately once every three weeks for one to two days. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

-Проектировать структуры операционных хранилищ и модели мастер-данных. -Разрабатывать процессы загрузки, обработки, хранения и передачи данных.

• Architect on‑prem & cloud data platforms. • Build data ingestion, pipelines & ETL/ELT.

You’ll design and implement scalable, efficient, and reliable data architectures that support business and analytical needs. You’ll build and maintain data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data.

Разработка и поддержка ETL/ELT-процессов. Построение и поддержка витрин данных для аналитики.

Location: Vancouver, Canada Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Who We Are Sensor Tower is the leading solution for mobile marketers, app developers, and industry analysts who demand superior competitive insights into the mobile market economy and are looking to increase app downloads through app store optimization. We serve independent and Fortune 500 customers alike, spanning the mobile games, travel & hospitality, music, finance, and broadcast entertainment markets. Our suite of products consist of free, “SMB”, and Enterprise-tiered solutions including Store Intelligence, Usage Intelligence, Ad Intelligence, and App Intelligence. Our insights are cited by the world’s leading news and finance publications, including the Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters. Role Summary As Sensor Tower continues to grow as a global company, we are looking for a Senior Data Engineer to build amazing products together. We have a wonderful team of more than a hundred engineers globally and are preparing for much more growth in the coming years. We are looking for an experienced and passionate professional to focus on developing our products in the fast-growing exciting environment. You will report to our Engineering Manager while working closely with the cross-functional product development team and founders. What You’ll Do - Take end-to-end ownership of the data product lifecycle - from business understanding, data analysis, product design, development, deployment, to delivery. - Think beyond coding: bring strong product sense, flexibility in problem-solving, and the ability to proactively align technical solutions with business needs. - Drive communication and coordination across teams to clarify or redefine goals, ensuring data products meet evolving business requirements. - Develop high-quality data programs using PySpark, with strong ownership of data mining and processing challenges. - Conduct code reviews, software design and architecture, and pair programming. - Collaborate closely with product managers and data scientists to design and deliver impactful data products. - Explore and evaluate new technologies in the Data ecosystem, sharing insights with the team. What We’re Looking For - 5+ years experience working on Data Modeling and Data Analysis domain. - Stellar engineering skills with at least 2+ years of experience with most of our core technologies such as: Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow. - Experience in Pandas, Sklearn or other data science and data analysis toolset is a big plus. - Having a background of data mining and machine learning domain, familiar with common algorithms and libs is a plus. - Solid grasp of modern software development lifecycle. - Ability to efficiently navigate complex multiconstraint decision-making. - Experience working in a diverse and international environment. - Experience in the mobile app, advertising, or gaming ecosystem. - Experience with product design and infrastructure challenges. - Major in Math or Computer Science. Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.   Our benefits include: - Flexible time off so employees can shape their time away from work. - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness. - Wi-Fi Allowance. - Monthly internet stipend and a one-time $500 home office stipend.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

💎 Ozon ищет Data Engineer в команду операционных прогнозов для работы над задачами операционного прогнозирования в ритейле: предстоит писать алгоритмы обработки больших данных (сотни миллионов строк), исследовать и подготавливать данные, оптимизировать вычисления, продуктивизировать и сопровождать алгоритмы, выполнять ревью кода и анализ инцидентов;

Location: United States Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Staff Data Engineer who can take ownership of and drive key initiatives across Data Platform Engineering, including the data lake, event instrumentation, data quality, and data governance. ABOUT THE ROLE: - Location: Remote-first (United States) - Full-time - Permanent - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States  (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $212,500 - $255,000 - Zone B: $200,000 - $240,000 - Zone C: $186,500 - $224,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.  Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to the Manager, Data Engineering As a Staff Data Engineer, you'll… - Design data solutions across batch, streaming, and real-time workloads. - Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA. - Contribute to the evolution of data lake and data platform, including ingestion, processing, storage, and serving patterns. - Build, maintain and scale cloud data infrastructure that includes Kafka, Airflow, Druid, EMR on EKS with reliability and observability in mind. - Implement and improve data quality, observability, reliability, and governance across data pipelines and systems. - Define and improve standards for event instrumentation and governance, including event schemas, validation, and schema evolution. - Build platform solutions for centralized PII handling, data retention, deletion, and residency to support GDPR and CCPA requirements. - Build agent harness capabilities that encode data engineering standards, pipeline patterns, and quality gates into AI tools, enabling agents to safely generate, review, and operate on data platform code. - Contribute hands-on to complex technical initiatives, troubleshoot production issues, mentor engineers, and collaborate with Analytics Engineering and other teams. - Build agent harnesses that embed data engineering standards, pipeline patterns, and quality gates into AI-assisted development workflows. ABOUT YOU: Requirements: - BA/BS degree or equivalent experience - 5+ years of experience in data engineering, building and operating production data pipelines and platforms. - Strong experience with Spark and distributed data processing, including designing and optimizing production data pipelines. - Experience designing batch, real-time, and streaming data solutions using technologies such as Kafka, Spark Structured Streaming, and CDC. - Experience implementing data quality, observability, and reliability across production data systems. - Experience with cloud data infrastructure, CI/CD, and infrastructure-as-code. - Demonstrated experience leading complex data engineering initiatives end-to-end, from technical design and decomposition through implementation and production. - Strong Programming and SQL skills, with experience building reliable and maintainable data systems. You’ll thrive as a Staff Data Engineer if you: - Can navigate ambiguous problems, evaluate architectural tradeoffs, and make pragmatic technical decisions. - Think beyond individual pipelines and consider the end-to-end data ecosystem, from data producers through downstream consumers. - Bring experience with data governance and privacy, including PII management, retention, deletion, data residency, GDPR, or CCPA. - Bring experience with event instrumentation and governance, including event schemas, validation, and schema evolution. - Collaborate with engineers on complex technical problems and help establish practical engineering best practices. - Embrace AI and emerging technologies, applying them in your development workflow and helping the team adopt new tools through shared learnings and best practices. - Stay curious and open to growth  demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

На данный момент мы в поиске Data Analyst / Data Engineer (LLM/AI, Data) Формат работы: Удаленный Локация и гражданство: РФ Оформление: только как ИП ✅ Задачи: Сбор данных из внутренних сервисов, LLM Gateway, GitLab, Jira, логов AI-агентов и других источников. Анализ активности пользователей, сценариев и профилей использования AI-инструментов.

• От 7 лет опыта в Python. • Сильный бэкграунд в Data Engineering, построении масштабируемых data pipelines и архитектуре ПО.

-Организация работы команды дата-инженеров: постановка задач, приоритизация, контроль качества выполнения работы. -Непосредственное участие в разработке новых и улучшении текущих дата-процессов.

Что предстоит делать Разрабатывать с нуля MVP новой дата‑платформы и инфраструктуры для ingest/transform. Мигрировать существующие пайплайны с Hadoop/HDFS на новую архитектуру (S3, Kafka, Spark, ClickHouse).