Data Engineer
Core
Design, build, and maintain ETL/ELT pipelines to ingest and clean raw clinical datasets for researchers and pharma teams.
Role type
Senior Data Engineer (Cloud & Data Platform)
Builds
Production-grade data pipelines, dbt models, and analysis-ready data layers
Domain
Healthcare / Clinical Data Intelligence / Cloud Data Engineering
Deliverable
production ML models
Required skills
SQL, Python, PySpark, dbt, AWS (MWAA, EMR, S3, ECS Fargate, RDS), Data Profiling, Test Suites (pytest, Great Expectations)
Preferred skills
Healthcare data standards (HIPAA, FHIR, HL7, OMOP), CI/CD, Terraform/CDK
Technologies
AWS, Snowflake, dbt, Apache Airflow, PySpark, Python, Cursor, Claude Code
Responsibilities
Design and build ETL/ELT pipelines; Optimize pipeline performance and cost; Profile raw datasets for quality issues; Build and maintain dbt models; Orchestrate workflows using Apache Airflow; Collaborate with ML engineers and GTM teams; Document pipelines and assumptions.
Seniority
Mid-Senior, hands-on IC