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

Work arrangement
Yes