PIIM Data Engineer
Summary
Build and maintain ETL/ELT pipelines, optimize SQL models, and prepare data for analytics and AI solutions in an in-house engineering role.
- Build and maintain ETL/ELT processes
- Collaborate with teams to define data requirements and onboard sources
- Develop and maintain data pipelines
- Develop curated datasets for reporting and dashboards
- Ensure data quality consistency and completeness
- Ingest transform and provision data into analytics data lake
- Manage data ingestion and exchange across systems
- Optimize SQL data models
- Prepare data for AI machine learning and agent solutions
- Support Power BI dataset delivery
- Support governance security and lifecycle management
Perks/Benefits:
- Full Time Office Project Telework
- Relocation assistance