Дата-инженер вакансии

Path Robotics is looking for a Data Engineer to build scalable data products and pipelines for machine learning robotics and business decisions.

🧩 Требования: от 2 лет опыта с Python и библиотеками для работы с данными (pandas, multiprocess, Google Cloud SDK); от 2 лет в ETL/ELT‑технологиях (REST API, GraphQL, DBT) и оркестрации пайплайнов (Airflow, Astronomer, DBT Cloud);

Location: Brazil, Colombia Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client Our customer is a leading education technology company that develops digital platforms and software solutions to support learning and improve educational experiences. The organization combines technology, data, and innovation to deliver scalable solutions to users and institutions worldwide. What You’ll Do Design, develop, and maintain reliable, scalable data pipelines and ELT processes using SQL and dbt. Build, optimize, and maintain data transformations, ensuring data quality, consistency, and reliability. Manage and maintain infrastructure using Terraform and infrastructure-as-code practices. Develop and support web applications and services using Node.js, TypeScript, GraphQL, and React. Collaborate with data, product, and engineering teams to deliver integrated data and application solutions. Contribute to the monitoring, troubleshooting, and continuous improvement of data pipelines, applications, and infrastructure. Participate in code reviews, technical discussions, and engineering best practices using GitHub and related tools. Participate in the on-call rotation, serving as the primary on-call engineer for one week out of every four and as backup on-call engineer for an additional week out of every four. What You Bring Strong hands-on experience with data engineering and ELT processes, including advanced SQL and dbt for building and maintaining data transformations and pipelines. Practical experience with Terraform and infrastructure-as-code practices for managing and maintaining technical environments. Proven web application development experience with Node.js, TypeScript, GraphQL, and React, with the ability to contribute across backend and frontend components. Strong problem-solving and troubleshooting skills, with a focus on reliability, maintainability, and production support. Ability to collaborate effectively with distributed, cross-functional teams and work with colleagues operating in the US Mountain Time zone. Availability to participate in the on-call rotation, including one primary on-call week and one backup on-call week in every four-week cycle. Nice to have Experience with Snowflake and AWS cloud services. Familiarity with Apache Airflow for workflow orchestration, Looker for analytics and business intelligence, and Python for scripting or data engineering. Experience with GitHub-based development workflows, including version control, pull requests, and collaborative code reviews. English level Intermediate/Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

-Разработка шаблонов потоков данных на основе Flink DataStream. -Реализация архитектуры потоков данных.

Ищем инженера данных с сильными компетенциями архитектора данных и баз данных, который сможет взять на себя планирование и проведение внедрения инструментов хранения и обработки данных.

Управление командой разработки в продуктах систем класса DWH - распределение задач, найм менторинг и развитие подчиненных, контроль и ответственность за результат команды; Формирование технических решений;

• Уверенное знание SQL и практический опыт работы с данными. • Практический опыт Data Processing и Data Analysis.

Предстоит: Разрабатывать ETL-процедуры с использованием Python, PySpark, Hadoop, Airflow; Собирать данные из разных реляционных и нереляционных источников (Kafka, Redis, Hadoop);

Ищем инженера данных с сильными компетенциями архитектора данных и баз данных, который сможет взять на себя планирование и проведение внедрения инструментов хранения и обработки данных. • Опыт работы на позиции Data Engineer от 4 лет в сфере разработки ПО.

- Разработка Data Pipelines: проектирование и реализация ETL/ELT-пайплайнов: построение DAG в Apache Airflow, написание кастомных операторов и сенсоров на Python, настройка ретраев, алертинга и зависимостей. - Стриминг и батч-обработка: разработка стриминговых джоб на Apache Flink и батч-процессинга на Apache Spark.

• Опыт от 4 лет с Java/Scala, Apache Flink (или Beam/Spark Streaming) и Kafka.

Location: United States Who We Are MEMX is a technology-driven exchange operator founded by members to benefit all investors. We operate MEMX Equities, MEMX Options, and MX2 Options, and provide market technology to clients. Our mission is to create healthy competition and advocate for market structure reform that results in more efficient and sensible trading experiences for all investors. Description MEMX is seeking a Data Engineering intern who has a passion for technology, an interest in financial markets, and the enthusiasm to contribute to our U.S. equities and options exchanges. This internship position will be offered as hybrid with 2 days in-person at our co-working office in Midtown-NYC. *MEMX has currently approved ONLY the following states for remote work: California, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Texas, & Utah. What You’ll Be Doing Work alongside MEMX’s technology team on data engineering projects that support our exchanges Help collect, organize, and validate data used for reporting and analysis Assist with building and improving data processes and tolls, with projects tailored to your skills and the team’s needs Collaborate with colleagues to solve problems, share ideas, and communicate your findings Gain hands-on experience in a growing exchange and see how your work contributes to the broader business Requirements Current undergraduate student entering their junior or senior year, pursuing a degree Computer Science, Computer Engineering, Data Engineering, Electrical Engineering, or a related field Experience with technical projects through coursework, internships, or personal work Ability to communicate technical ideas and work collaboratively with a team Ability to work in person at our Midtown Manhattan office during the summer Permanent residence in one of MEMX’s approved states for remote work during the internship What You’ll Gain Hands-on experience working with data that supports MEMX’s exchanges Exposure to how data is collected, organized, and used for reporting an analysis Mentorship and guidance from experienced data engineers Opportunities to collaborate with technology teams across MEMX and connect with fellow interns Why MEMX At MEMX, you’ll contribute to meaningful work alongside experienced professionals while developing your skills and learning how our exchanges operate. As part of our summer internship program, you’ll also have access to: Learning opportunities: Attend Lunch & Learn sessions, professional development workshops, and relevant courses Mentorship and support: Learn from a mentor and a designated buddy who can help guide you throughout the summer An intern cohort: Connect with interns working across other MEMX teams Social events: Get to know colleagues, with opportunities to connect with members of MEMX’s C-suite Regular feedback: Check in with your manager and HR to discuss your progress, ask questions, and get support Future opportunities: All interns are considered for potential internship extensions or a full-time opportunity after graduation, based on performance and business needs Pay Rate: $30/hourly for undergraduate students Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

Задачи: — поддержка и развитие решения по обогащению данных на основе event sourcing — построение витрин данных с использованием Airflow, dbt и Materialized Views в ClickHouse — внедрение проверок качества данных — автоматизация рутинных задач — внедрение стандартов Data Engineering — ведение технической документации Требования: — от 3 лет опыта в data engineering — уверенное владение SQL (сложные аналитические запросы, оптимизация) — сильный Python (фундаментальные знания и опыт с библиотеками для DE — pandas, SQLAlchemy, PySpark) — опыт разработки production‑кода (ООП, архитектура приложений, тестирование, Git, CI/CD) — практический опыт работы с Airflow (создание и поддержка DAG) — опыт работы с dbt (модели, тесты, макросы) — опыт работы с ClickHouse (движки таблиц, Materialized Views, тюнинг производительности) — опыт работы с Kafka (продюсеры/консьюмеры, топики и партиционирование, гарантии доставки) — опыт с инструментами контроля качества данных (dbt tests, Great Expectations, Soda) — ориентация на результат и ответственность за итоги работы

• 3+ лет опыта в Data Engineering. • Опыт полного ownership хранилища: от источников до пользовательских витрин.

• Минимум 8 лет в data engineering или смежных ролях. • 2–3 года практики с платформой Databricks.

• Проектирование и развитие аналитического хранилища данных (DWH). • Разработка моделей данных (fact / dimension, агрегаты).

Опыт от 4 лет с Java/Scala, Apache Flink (или Beam/Spark Streaming) и Kafka. Знание событийно-ориентированной архитектуры и потоковой обработки данных.

3+ лет опыта в Data Engineering. Опыт полного ownership хранилища: от источников до пользовательских витрин.