Define the future of AI + human healthcare with innovative data engineering solutions
Architect data platforms in a fast-paced, high-growth environment
Collaborate with teams on multi-stakeholder projects working extensively with healthcare data and standards (e.g. HL7 FHIR, CDS, ICD-10)

Requirements

5+ years of experience in data engineering building high-performance data pipelines
Previously pioneered self-service analytics & business intelligence tooling (e.g. Hex, Sigma, Looker) for a diverse set of stakeholders
Operational experience with data storage platforms (e.g. Databricks, Iceberg, or Snowflake) and analytical query engines (e.g. Athena or Presto)
Managed job orchestration (e.g. Dagster, Airflow) and semantic data modeling (dbt, SQL)
2+ years working in highly regulated industries such as healthcare or financial services
Implemented row-level security and data masking for PHI/PII use cases
Deep familiarity with row and columnar data warehouses (e.g. PostgreSQL, BigQuery, Snowflake)
Opinionated about data architecture, data modeling, and analytics in a fast-growing environment

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata pipelinesself-service analyticsbusiness intelligencedata storage platformsanalytical query enginesjob orchestrationsemantic data modelingrow-level securitydata masking

Soft Skills

collaborationstakeholder managementopinionated about data architectureadaptability in fast-paced environments