onsite
Data Engineer II - Judi Health
Data Engineer
Senior Data Engineer focused on building scalable data pipelines and modeling solutions on AWS, leveraging Python, SQL, and Spark to support enterprise health technology analytics.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines using Python, SQL, and Spark on AWS services (Redshift, S3, Glue).
- Implement data modeling and schema design to support analytics and reporting for health benefit management.
- Collaborate with data scientists and product teams to translate business requirements into technical solutions.
- Optimize ETL processes for performance, reliability, and cost-efficiency.
- Ensure data quality, governance, and compliance with industry regulations.
Requirements
- 3+ years of experience as a data engineer in a cloud environment.
- Experience with data modeling, ETL design, and performance tuning.
- Excellent problem‑solving skills and ability to work cross‑functionally.