Senior Data Engineer

Responsibilities:

• Design, build, and maintain ETL pipelines that move data between diverse sources and destinations.
• Partner with product managers, research scientists, QA, and platform engineers to translate business and ML requirements into data engineering work.
• Investigate and resolve data integrity issues surfaced by stakeholders.

Skills and Knowledge:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 4-6 years of experience in data engineering with a focus on AI/ML.
• Strong Python skills and advanced SQL across transactional databases and columnar data warehouses.

Soft Skills:

• Comfortable with ambiguity and thrives when requirements are incomplete or evolving.
• Takes full ownership of problems from investigation through resolution.
• Communicates clearly with both technical and non-technical stakeholders.