Data Scientist
Summary
Build near real-time healthcare data pipelines into Snowflake (Epic/FHIR/HL7), author stored procedures and notebooks, feed Snowflake Cortex LLM models, and migrate components from Databricks.
About Role
Mandatory
Healthcare domain exp in recent years
Cortex
What you’ll do
• Build near real time ingestion from Epic/FHIR/HL7 into Snowflake.
• Author Snowflake stored procedures (SQL/Python) and Notebooks to transform/prepare features.
• Feed an existing LLM/Cortex model; ensure stable, well documented feature contracts.
• Migrate/port components from Databricks → Snowflake.
• Implement monitoring/alerts, data quality checks, and concise runbooks.
• Partner with clinicians/data scientists; communicate progress/issues clearly.
What you have
• 5–8+ years in data engineering/data science engineering with Snowflake depth (stored procs, Snowpark/Notebooks, tasks/streams).
• Python for APIs and transformations; healthcare data experience (Epic, FHIR, HL7).
• LLM/GenAI literacy with Snowflake Cortex.
• Near real time ingestion + incremental patterns; strong comms.
• Nice: Databricks experience.