Top Data Engineer Jobs

The Data Engineer will transform raw data into useful systems by building pipelines, conducting analysis, and collaborating on projects. Responsibilities include developing algorithms and enhancing data quality.

The Staff ML Data Engineer will design and build data systems for AI products, focusing on multimodal data and ensuring efficient data workflows for machine learning research and production.

The role involves engineering modern data platforms, focusing on data ingestion, transformation, and storage while utilizing Azure services and MS Fabric, supporting an investment management firm.

The Senior Bioinformatics Data Engineer will build data pipelines, implement clinical data ingestion, and optimize platform infrastructure while ensuring data quality and compliance with legal standards.

Design, build, test, and maintain data pipelines and solutions that support reporting and analytics. Collaborate with stakeholders to deliver scalable data solutions.

The Data Engineer in Finance Technology supports data integration, analytics, and reporting needs while optimizing ETL/ELT pipelines and mentoring junior staff.

The Data Engineer will develop and maintain data pipelines and data infrastructure for managing large data volumes, ensuring data quality and collaboration with team members.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

The Lead Data Engineer will design, develop, and implement technical solutions while collaborating with Agile teams and leveraging data technologies to solve business problems.

The Lead Data Engineer at Capital One will design and develop a self-service data platform, deploying tools for advanced analytics while ensuring regulatory compliance.

Lead Data Engineer responsible for building technical solutions, collaborating with Agile teams, utilizing big data technologies, and developing cloud-based data warehousing solutions to enhance user experiences.

As a Data Engineer, you will design and maintain data pipelines, ensure data quality, and work with teams to support data-driven initiatives in a healthcare setting.

The role involves designing and building scalable data pipelines, collaborating cross-functionally, ensuring data quality, and improving processes in the finance data warehouse.

The Jr. Data Engineer will design and maintain scalable data pipelines, develop AI/ML models, analyze complex datasets, and communicate insights across teams.

The Data Engineer II is responsible for data modeling, quality, and ingestion, performing complex tasks independently, and ensuring compliance with data standards. They develop ETL processes and maintain data integrity while collaborating with various teams for successful project delivery.

As a Data Engineer, you will operationalize data pipelines, support ML tasks, and provide expertise in data engineering and security architecture. You'll work with AI teams and present findings to diverse audiences.

The Data Engineer builds and maintains scalable data pipelines in Azure, transforming raw data into reliable information for analytics. Responsibilities include designing ETL/ELT pipelines, managing Azure Data Lake, creating dashboards in Power BI, and ensuring data quality and efficiency across platforms.

The Data Engineer will design and maintain scalable data pipelines using Databricks, build data models, write SQL transformations, and lead stakeholder meetings to meet business needs across diverse systems.

The Data Engineer/Sr. Data Engineer will enhance the enterprise data platform by developing data warehouse solutions, improving data governance, and enabling analytics through Azure services.

As a Data Engineer, you'll deliver scalable data solutions, participate in technical discussions, and ensure timely, trustworthy data delivery through robust pipelines.

The Palantir Data Engineer will design and maintain ontologies, implement data pipelines, and ensure data integrity while collaborating with product owners and teams.

As a Data Engineer, you will develop and maintain data pipelines, conduct ETL/ELT processes, and create data visualizations while ensuring data quality and governance.

The Data Engineer will design, develop, and maintain data pipelines and analytics solutions for the DoD, focusing on financial data and compliance while utilizing Databricks and Foundry within secure cloud environments.

The Data Engineer will build and optimize data pipelines and cloud solutions, collaborating with teams to ensure data quality and leveraging modern engineering tools.