Staff Data Engineer
Core
Design and implement scalable data pipelines, transformation layers, and data products to collect, model, and serve data across the organization.
Role type
Staff Data Engineer
Builds
End-to-end data systems from source ingestion to data products
Domain
Health-tech / AI-powered chronic care platform
Deliverable
production ML models | product features
Required skills
SQL, Python, cloud data warehouses (BigQuery, Snowflake, Redshift), data transformation tools (dbt), batch/streaming pipelines, orchestration tools (Airflow, Prefect, Dagster)
Preferred skills
streaming architectures, infrastructure-as-code, high-growth health-tech experience
Responsibilities
Architect and build scalable data systems; define best practices for testing, data modeling, CI/CD, and data quality; collaborate with analytics, data science, and product engineering to translate business goals into technical designs; monitor pipeline health and optimize data infrastructure; support team growth through code reviews and knowledge sharing
Seniority
Staff, hands-on IC with leadership responsibilities