Function Health
Staff Data Analytics Engineer
United States - Remote +3 · Remote · Staff · Full-time · Posted Jul 15, 2026
- Location
- United States - Remote
Canada - Remote
Mexico - Remote
Brazil - Remote - Experience
- 8+ years of analytics engineering, data engineering, or data architecture experience, with clear progression to staff-level scope and impact.
About the job
Own and improve Function Health’s analytics semantic layer and data platform so people and AI agents can access reliable, governed data and self-serve insights.
What you'll do
- Design and maintain trusted metrics, dimensions, and data models; establish modeling, documentation, and code review standards.
- Make the Databricks and GCP-based platform AI-ready, and build data quality monitoring, testing, and alerting.
- Partner across product, clinical, and business teams to enable self-serve analytics and improve event logging and measurement.
What they ask for
- Deep SQL expertise and strong Python skills.
- Strong data modeling fundamentals and experience building production-grade, monitored data systems.
- Experience with modern data stack tools, including Databricks, Snowflake or BigQuery, Airflow or similar, and Looker/Tableau or equivalent BI tools.
- Strong communication skills, including explaining technical tradeoffs to non-technical stakeholders.
Nice to have
- Experience with health tech or regulated data environments, including HIPAA or PHI/PII handling.
- Familiarity with Databricks Unity Catalog, Delta Lake, Spark, AI/LLM-powered analytics tools, or GCP.
Tools
SQL, Python, Databricks, GCP, Snowflake, BigQuery, Airflow, Looker
AI focus
Build and structure the data platform and semantic layer to support reliable AI-driven analytics agents; experience integrating AI/LLM-powered analytics tools or data agents is a plus.
Model-written summary · the original posting is authoritative