Senior Data Engineer
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Job Description
Senior Data Engineer focused on innovative data engineering solutions in AI + human healthcare. Collaborating on architectural decisions and multi-stakeholder projects with healthcare data standards.
Responsibilities:
- 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
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