remote
Data Engineer - Optum
Data Engineer
Data Engineer building scalable data pipelines and models using Python, SQL, and AWS to support health analytics and improve patient outcomes.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, transform, and store large volumes of healthcare data.
- Collaborate with cross‑functional teams to define data requirements and ensure data quality and integrity.
- Implement data modeling best practices and optimize queries for performance on cloud platforms.
- Monitor pipeline health, troubleshoot issues, and continuously improve automation and reliability.
- Document architecture, processes, and data lineage for compliance and audit purposes.
Requirements
- Proven experience with Python and SQL for data manipulation and pipeline development.
- Hands‑on knowledge of AWS services such as S3, Redshift, Glue, and Lambda.
- Strong understanding of data modeling, ETL concepts, and performance tuning.
- Excellent communication skills and ability to work collaboratively with stakeholders.
- Experience in the healthcare or life‑sciences domain is a plus.