Data Engineer – Full-Stack GCP
Location: Remote (US) About The Company Our client is one of the largest healthcare organizations in the U.S., serving millions of members across pharmacy, insurance, and care delivery. Its Network Analytics team uses data science to shape how the company builds and contracts its provider networks. Job Summary We're looking for an experienced Data Engineer with full-stack GCP skills to build the data foundation for a new rate benchmarking simulator. You'll design and build the pipelines that feed the benchmarking models and connect the simulator to the client's existing provider contracting tools. You'll also support front-end and back-end development as needed.
Key Responsibilities
Assess data sources and design the benchmark data pipeline architecture in GCP Build and maintain ETL/ELT pipelines in BigQuery using Python and SQL Connect the simulator to existing contracting tools and applications Support front-end and back-end development for the simulator MVP Partner with Data Scientists to deliver clean, model-ready datasets Monitor data quality, performance and reliability Document pipelines and infrastructure for knowledge transfer Requirements 6–10 years of data engineering experience Strong hands-on GCP experience (BigQuery, Cloud Storage, Dataflow/Composer, Cloud Functions or similar) Advanced SQL and Python Experience building production data pipelines and integrating with applications or APIs Comfortable working across the stack on a small, fast-moving team
Preferred Qualifications
Healthcare claims or provider data experience Front-end or web framework experience (React, Flask/FastAPI, Looker or similar) CI/CD, Terraform or infrastructure-as-code experience GCP Professional Data Engineer certification
Benefits
Fully remote High-visibility analytics initiative at one of the largest healthcare organizations in the U.S. Own the data architecture for a new product