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Data Engineer - Zelis Healthcare
Data Engineer
Data Engineer building scalable data pipelines in AWS, transforming healthcare financial data with Python, SQL, and Spark to enable AI-driven insights and reporting.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines on AWS (Glue, Redshift, S3) to ingest, transform, and store large volumes of healthcare financial data.
- Implement ETL processes using Python, SQL, and Apache Spark, ensuring data quality, consistency, and performance.
- Collaborate with data scientists and product teams to support AI/ML initiatives, providing clean, well‑structured datasets.
- Model data for analytical workloads, creating efficient schemas and optimizing query performance.
- Monitor pipeline health, troubleshoot issues, and continuously improve reliability and scalability.
Requirements
- 3+ years of experience as a Data Engineer in a cloud environment.
Skills
pythonsqlawsapache spark