[Remote] Staff Data Analytics Engineer
Note: The job is a remote job and is open to candidates in USA. Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. They are seeking a Staff Data Analytics Engineer to own the semantic layer of their data platform, ensuring accurate and reliable data for analytics and AI-driven insights.
Responsibilities
- Own the semantic layer: 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
- Architect for AI-readiness: 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
- Drive data quality end-to-end: Build observability, testing, and alerting into pipelines so we catch problems before stakeholders do
- Enable self-serve analytics: Partner with product, clinical, and business teams to deliver tooling and dashboards that let them answer their own questions without filing tickets
- Set the standard: Establish and enforce data modeling conventions, documentation practices, and code review norms across the data org
- Collaborate cross-functionally: Translate ambiguous business questions into data solutions; work with product engineering to improve event logging and measurement coverage
Skills
- 8+ years of analytics engineering or data engineering 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 dbt is a plus
- 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 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
Benefits
- Benefits package
- Flexible working hours
- Dynamic work environment where creativity and innovation are encouraged
- Fully remote role
- Distributed team; hire across the US
Company Overview
Company H1B Sponsorship