Senior Data Engineer Remote
Core
Design and own end-to-end data architecture for a secure, scalable healthcare data platform, managing ingestion, warehousing, and ML-ready data layers.
Role type
Senior IC data engineer (healthcare)
Builds
Production-grade data platforms, ingestion pipelines, curated analytics layers, and feature stores for machine learning.
Domain
Healthcare technology, data engineering, HIPAA compliance
Deliverable
production ML models | product features | dashboards & analysis
Required skills
PostgreSQL (schema design, performance tuning, extensions), Python, data pipeline design (SFTP, REST, webhooks), dbt or SQL transformation frameworks, data orchestration (Dagster, Prefect, Airflow), data modeling (Kimball, Data Vault, One Big Table), cloud platforms (AWS), data validation (Great Expectations, Pandera, Soda), infrastructure as code, CI/CD.
Preferred skills
HIPAA data governance, PHI/PII protection, HITRUST or SOC 2 experience, AI coding assistants (GitHub Copilot, Cursor, Claude), ML workload support.
Technologies
AWS, S3, PostgreSQL, dbt, Airflow, Dagster, Prefect, Python, SQL, REST, SFTP, JSON, XML, HL7, X12, Great Expectations, Pandera, Soda, GitHub Copilot, Cursor, Claude
Responsibilities
Design and own end-to-end data architecture including landing zones and curated analytics layers; build ingestion pipelines for partner files and APIs; operate data warehouses/lakehouses; design and enforce governance controls for HIPAA environments; partner with stakeholders to define data contracts; build and maintain feature data for ML models; instrument data platform for observability.
Seniority
Senior, hands-on IC
