Data Engineer (Snowflake)
Core
Design, build, and maintain scalable data pipelines and workflows to transform raw healthcare and life sciences data into actionable insights for clients.
Role type
Senior Data Engineer (Snowflake)
Builds
Production data pipelines ingesting from EHRs, claims, APIs, and CRMs into Snowflake
Domain
Healthcare and Life Sciences
Deliverable
production ML models | product features
Required skills
Snowflake (production workloads, optimization, cost management), SQL, Python, ETL/ELT, dimensional modeling, cloud provider integration (AWS/Azure/GCP), CI/CD, DevOps
Preferred skills
Healthcare data standards (HL7, FHIR), PHI handling/HIPAA compliance, SnowPro certification, Infrastructure-as-Code (Terraform), real-time streaming ingestion, legacy platform migration
Technologies
Snowflake, Python, dbt, Apache Airflow, Azure Data Factory, Git, Terraform, Kafka, Kinesis
Responsibilities
Design and optimize data pipelines for diverse sources; implement warehouse sizing and cost management strategies; integrate pipelines with version control and CI/CD; collaborate with client architects to explain technical tradeoffs; mentor team members on data engineering best practices.
Seniority
Senior, hands-on IC