Senior Data Engineer: Facts, Skills, and Next Paths

Senior Data Engineers design, build, and maintain the pipelines that move and transform raw data into usable formats for analytics, machine learning, and reporting. Day-to-day work involves writing code in SQL and Python or R, managing cloud platforms like AWS or Azure, and implementing data governance controls to ensure security and compliance.

Core responsibilities include developing scalable data ingestion and transformation pipelines, collaborating with cross-functional teams to define data architectures, and supporting machine learning initiatives. For example, at Praescient Analytics, engineers build data pipelines for national background investigations, while at BigBear.ai they design data management systems for intelligence needs. These roles typically sit within IT, digital, or data engineering teams and report to a data architect or engineering manager.

The median salary for Senior Data Engineers is about $175,670, and the most requested skills in current job postings are Data Engineering (100%), Data Integration (80%), and SQL (80%), followed by Python or R (70%) and Cloud Platforms (50%).