Data Engineer
Core
Design, develop, and maintain optimal data pipelines to assemble large and intricate healthcare datasets, underpinning data-driven business decisions.
Role type
Data Engineer (Healthcare)
Builds
Data pipelines, analytical data models, and integrations with external systems for CVS Health lines of business.
Domain
Healthcare / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, NoSQL, Python, Data warehousing, ETL/ELT, Query optimization, Big data architecture, GCP, Kubernetes, Kafka, Spark Streaming
Preferred skills
Data visualization, DevOps, Bash/UNIX, API development, Dimensional data modeling, Microservices, SAFe/Agile, Healthcare domain knowledge
Technologies
BigQuery, GCP, Dataflow, Cloud Functions, Cloud Run, Cloud Build, GitHub Actions, Jenkins, Cloud Monitoring, Cloud Logging, Kafka, Spark Streaming, Kubernetes, AKS
Responsibilities
Build and optimize analytical data models in BigQuery; Develop integrations with external systems using GCP-native or hybrid approaches; Build automated CI/CD pipelines and set up observability.
Seniority
Mid-level, hands-on IC