Top Data Engineer Jobs

Design and implement large-scale Snowflake-based data platforms, migrate on-prem databases to AWS/Snowflake, build ETL/ELT pipelines and data lakes, create dimensional models, maintain CI/CD and scheduling (Control-M), provide technical leadership and modernization guidance, and develop performant data solutions across multiple database platforms.

Design, build, and maintain scalable single- and multi-tenant data solutions and RESTful APIs using SpringBoot, Java, and Python. Implement ETL/ELT processes, develop and tune database code (PL/SQL, Snowflake, Azure SQL), perform data modeling and cataloging (PII mapping with Alation/Big ID), and support deployments, QA readiness, mentoring, and technical strategy for stakeholders.

The Lead AWS Data Engineer designs and optimizes AWS data architectures and pipelines, analyzes datasets, collaborates with stakeholders, and provides technical leadership while focusing on performance tuning and automation.

As a Data Engineer, you will develop analytical data products, build data pipelines, maintain infrastructure, optimize solutions, and collaborate with stakeholders to enhance data governance and support vehicle prognostic initiatives.

The role involves managing data pipelines for AI and quantitative research, focusing on L3 market data architecture and integrity, API development, and collaboration with researchers.

The posting contains company and benefits information but no role-specific responsibilities. The title indicates a Data Engineer supporting digital marketing, likely focusing on data pipelines, analytics, and collaboration with marketing and engineering teams.

The Data Engineer will manage Databricks environments, optimize data pipelines, perform ETL development, and build data applications to support organizational data needs.

The role involves building advanced data solutions for national security, utilizing cloud-native applications, ETL processes, and collaborating on AI/ML capabilities. Requires active TS/SCI clearance and strong skills in data manipulation and database management.

The Data Engineer I will design, build, and maintain data infrastructure, develop scalable data pipelines, and provide technical support for data-driven projects.

The Senior Data Engineer will architect, build, and maintain scalable data pipelines and infrastructure, mentor junior engineers, and collaborate on data solutions for Openly's insurance platform.

As a Staff Data Engineer, you develop data products, design data for analytics, and support Precision Ag business through data insights and tools. You will harmonize data, implement data pipelines, and lead teams on complex projects, ensuring efficient and impactful solutions for agriculture.

Looking for a Data Engineer focused on data visualization with experience in handling real-world data and effective communication through data. Extra credit for skills in probabilistic classifiers and full-text search engines.

Join a 3-month immersive program to work on automation and data engineering projects, with mentorship and potential for a full-time role.

The role involves developing scalable data pipelines, automating workflows, optimizing data models, and ensuring data governance while collaborating with various teams.

Data Engineers at Endex design and maintain data pipelines for transforming financial data into insights, focusing on data quality and analytics.

As a Data Engineer, you will create efficient data models, pipelines, and analytics frameworks, collaborating with various departments to transform raw data into actionable insights.

Design, develop, and maintain data pipelines and ETL workflows in Databricks, collaborating with teams to support large data needs in financial services.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

Designs and implements data solutions on Snowflake and other technologies, manages data services, and develops technical solutions for multiple projects.

Build and operate reliable batch and streaming data pipelines from OT and enterprise systems into the UNS and analytics platforms. Integrate lab and shop-floor equipment and enterprise apps, implement CI/CD and IaC, enforce security and compliance (GxP/21 CFR Part 11), establish observability and runbooks, and collaborate with data science and stakeholders to define data contracts and reusable integration patterns.

Designs and implements data solutions, manages data integration, develops frameworks and pipelines, and advises on technical strategy while mentoring juniors.

The Data Engineer II will build and maintain data pipelines and analytics infrastructure for Spotify's rights management platform, ensuring reliability and data quality, while collaborating with cross-functional teams to support strategic decisions.

The Data Engineer will architect and build data pipelines, collaborate with teams, optimize database structures, ensure data integrity, and mentor junior engineers to enhance data-driven solutions in a startup environment.

Responsible for building ETL/ELT pipelines, optimizing data workflows, monitoring data quality, and collaborating with other teams for data governance and analytics.

Design, implement, and maintain scalable ETL/ELT data pipelines and dashboards (Databricks, Power BI) for federal/military clients while ensuring compliance, data governance, and mentoring junior staff.