Key skills
Amazon RedshiftAzureBigQueryCloudETLPySparkPythonSQLVaultELTSnowflakeRedshiftDatabricks
About this role
Role Overview
- Build and maintain data ingestion pipelines that pull from Epic Clarity databases, FHIR APIs, and HL7 feeds into Databricks lakehouse architecture
- Execute data quality validation and mapping verification for each new workflow deployment
- Support 2-4 health system partners as part of a dedicated integration pod
- Develop and optimize SQL queries against complex healthcare data models
- Contribute to defining reusable data transformation patterns that accelerate future partner onboarding
Requirements
- 4+ years as a data engineer building production ETL/ELT pipelines
- Strong SQL skills (complex joins, window functions, CTEs across large healthcare datasets)
- Proficiency with Python and PySpark for data transformation at scale
- Experience with cloud data platforms (Databricks preferred; Snowflake, BigQuery, or Redshift accepted)
- Familiarity with FHIR data models or willingness to learn healthcare data standards quickly
- Azure cloud services experience (ADLS Gen2, Key Vault, networking basics)
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field
Tech Stack
- Amazon Redshift
- Azure
- BigQuery
- Cloud
- ETL
- PySpark
- Python
- SQL
- Vault
Benefits
- Comprehensive benefits
- Flexible working hours
- Equity opportunities