Staff Data Engineer
Core
Design and own the data layers powering dashboards, data products, and AI agents, including migrating from GCP to AWS/Databricks.
Role type
Staff Data Engineer (Platform & Migration)
Builds
Data ingestion pipelines, transformation models (dbt), and reverse ETL flows for internal and external AI agents.
Domain
Healthcare technology / Cloud Data Engineering
Deliverable
production ML models
Required skills
dbt, Python (PySpark), Databricks (Delta Lake), streaming and batch ingestion, CDC patterns, data quality testing, architectural design (ADRs)
Preferred skills
Unity Catalog, reverse ETL (Mulesoft), Infrastructure as Code (Terraform), healthcare data compliance (HIPAA), AI/ML platform patterns
Technologies
AWS, Databricks, dbt, PySpark, Airflow, Cloud Run, BigQuery, Mulesoft, Salesforce, NetSuite
Responsibilities
Own end-to-end ingestion pipelines from operational sources; Build and maintain dbt models in a medallion architecture; Drive GCP to AWS/Databricks migration; Build reverse ETL integrations into operational systems; Architect data solutions and define engineering patterns; Translate business needs into data requirements.
Seniority
Staff, high-ownership IC