Top Senior Level Data Engineer Jobs

The Sr. Data Engineer II at DXC Technology will build and optimize data pipelines, analyze data for preparation, integrate with ML Engineers, and ensure high-performance data engineering processes. Responsibilities also include technical leadership and collaborating with various engineering teams to align data workflows with business requirements.

The Data Architect will develop and optimize the data warehouse, analyze source data, build data structures, troubleshoot existing queries, and provide guidance on business systems. The role requires maintaining documentation and consulting with management on system requirements, while ensuring data integrity and process improvements.

The Senior Researcher in Responsible AI at eBay will lead evaluations of AI systems, ensuring they align with ethical standards and business performance. Responsibilities include collaborating on research projects, conducting data-driven studies, and contributing to industry publications. This role aims to promote fairness and safety in AI deployments.

As a Senior Database Administrator, you will manage and optimize database systems like Postgres, Oracle, DB2, and Microsoft SQL. Your responsibilities include configuring environments, troubleshooting issues, and ensuring performance compliance. You'll also document changes and guide users, focusing on continuous improvement in line with Frost’s values.

The Data Engineer at Regions is responsible for designing and building data structures, processes, and pipelines to deliver analytical and operational data assets. This role involves collaborating with technical partners to ensure data quality, supporting data consumers, and providing insights to aid in business decision-making.

The Staff Data Analyst role involves working with engineering teams to enhance the Aurora Driver by designing metrics, creating dashboards, and supporting data-driven decision-making processes. The role requires collaboration with Data Scientists and Engineers to adopt best practices in data analytics and ensure effective project outcomes using large datasets from multiple modalities.

The Data Scientist III will develop and implement advanced AI/ML algorithms for semiconductor equipment and process development. Responsibilities include collaborating with engineers to understand process needs, creating usable code following best practices, and driving product capabilities through statistical methodologies and machine learning frameworks.