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
Builds
Data ingestion pipelines, transformation models (dbt), and reverse ETL flows for operational systems.
Domain
Healthcare technology / Cloud data engineering
Deliverable
production ML models
Required skills
dbt, Python (PySpark), streaming and batch ingestion, Databricks (Delta Lake), data quality testing, architectural design
Preferred skills
Unity Catalog, reverse ETL platforms (Mulesoft), Infrastructure as Code (Terraform), healthcare data compliance, AI/ML platform patterns
Technologies
AWS, Databricks, dbt, PySpark, Airflow, Cloud Run, BigQuery, Salesforce, NetSuite, Mulesoft
Responsibilities
Own end-to-end ingestion pipelines; build and maintain dbt models in medallion architecture; drive GCP to AWS/Databricks migration; build reverse ETL integrations; architect data solutions via ADRs; translate business needs into data requirements
Seniority
Staff, high-ownership IC