Staff Data Analytics Engineer

Function Health is seeking a Staff Data Analytics Engineer to own and improve the semantic layer at the center of its health data platform. The role builds trusted data models and metrics, improves data quality and AI readiness, and enables self-serve analytics across teams.

Responsibilities:

• Design and maintain the metrics, dimensions, and data models that serve as the single source of truth across the business — built to be queried by humans and AI alike
• Structure our Databricks and GCP-based data platform so it can reliably power AI-driven analytics agents — clean schemas in Unity Catalog, consistent naming conventions, and strong data contracts
• Build observability, testing, and alerting into pipelines so we catch problems before stakeholders do
• Partner with product, clinical, and business teams to deliver tooling and dashboards that let them answer their own questions without filing tickets
• Establish and enforce data modeling conventions, documentation practices, and code review norms across the data org
• Translate ambiguous business questions into data solutions; work with product engineering to improve event logging and measurement coverage

Requirements:

• 8+ years of analytics engineering, data engineering, or data architecture experience, with clear progression to staff-level scope and impact
• Deep SQL expertise and strong Python skills
• Strong data modeling fundamentals — you know what clean, extensible, well-documented models look like and can build and enforce that standard regardless of tooling
• Experience with modern data stack tools: Databricks, Snowflake or BigQuery, Airflow or similar orchestration, Looker/Tableau or equivalent BI tools
• Track record of building resilient, monitored, production-grade data systems — not just pipelines that work, but ones that stay working
• Strong communicator who can make technical tradeoffs legible to non-technical stakeholders
• Experience with dbt is a plus
• Experience with health tech or regulated data environments (HIPAA, PHI/PII handling)
• Familiarity with Databricks Unity Catalog, Delta Lake, or Spark
• Experience building or integrating with AI/LLM-powered analytics tools or data agents
• GCP experience