Lead Data Engineer
Core
Architect, build, and scale a cloud-native healthcare data platform to ingest, transform, and deliver trusted clinical and operational data for AI/ML development and analytics.
Role type
Lead Data Engineer (Healthcare)
Builds
Cloud-native data platform, ETL/ELT pipelines, data warehouses, and streaming dataflows for healthcare clients.
Domain
Healthcare / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud-native data architecture, ETL/ELT pipeline design, data modeling, data quality frameworks, HIPAA compliance, technical leadership, Python, SQL, dbt, Airflow, GCP Healthcare API, HL7/FHIR/DICOM standards
Preferred skills
Multi-cloud architecture (AWS/GCP), stream processing (Dataflow/Beam), EHR integrations, claims processing, ML feature engineering
Technologies
Google Cloud Platform (BigQuery, Cloud Storage, Pub/Sub, Cloud Run, Airflow/Cloud Composer, Healthcare API), dbt, Python, SQL, AWS (Redshift, Lambda, S3, Glue, Kinesis, Athena, API Gateway, Step Functions), FHIR, HL7, DICOM, C-CDA, X12
Responsibilities
Lead design and evolution of cloud-native data platform; Build scalable ETL/ELT pipelines for clinical and administrative data; Design and maintain BigQuery datasets and semantic layers; Implement data quality frameworks, automated testing, and monitoring; Partner with analytics, product, and clinical teams to deliver data products; Provide oversight and technical direction for multi-cloud data integrations
Seniority
Senior, hands-on IC with leadership responsibilities