Senior Data Engineer

📋 Description

• Own the Trust Layer: build and run pipelines ingesting clinical/operational data at scale, ensuring
• Enable Insights Across Teams: design dashboards/analytics with cross-functional partners to guide
• Support Scalable Infrastructure: apply warehousing, orchestration (Dagster), governance, and RBAC
• Automate Data Ingestion Workflows: create file-based pipelines with automated validation
• Establish Validation & Transformation: implement validation frameworks and transform layers

🎯 Requirements

• 5+ years in production Data Engineering with Snowflake experience.
• Strong SQL and Python; experience with ETL/ELT pipelines, data lakes/warehouses in cloud.
• Solid data validation, schema design, scalable architecture; excellent cross-functional
• Ownership mindset, able to operate in startup pace and drive deliverables.
• Nice-to-haves: dbt, orchestration tools (Airflow, Dagster), BI tools (Looker, Tableau, Mode).

🎁 Benefits

• Comprehensive medical, dental, and vision coverage.
• 401(k) with company match up to 3% of base salary.
• Remote-friendly culture with SF HQ and equipment provisioning.
• Parental leave and travel-friendly team off-sites.
• Flexible time off and annual holiday shutdown for rest and sustainability.