Function Health
Staff Data Analytics Engineer
Austin, USA · Staff+
Sponsorship not specifiedDetected 7 days ago
PythonCode ReviewSQLBigQuerySnowflakeDatabricksGCPAirflowdbtData AnalysisData EngineeringData VisualizationLLMsComplianceUnityHIPAACommunication
About the role
- Function has been recognized as one of Fast Company's Most Innovative Companies of 2024, and is venture-backed by Redpoint and other leading venture firms.
- Over half a million members have joined Function to take control of their health.
- Through comprehensive lab testing, MRI and CT imaging, longitudinal data, and guidance from AI and clinical teams, Function gives members a complete and continuous view of their health - and the clarity to act on it.
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.
- 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.
- Track record of building resilient, monitored, production-grade data systems - not just pipelines that work, but ones that stay working.
- Experience building or integrating with AI/LLM-powered analytics tools or data agents.
- We move quickly to drive value, not perfection.
- We prioritize what drives impact.
- Member-First, Always: We design and deliver like we're caring for someone we love.
- We create calendar, actionable, human experience.
- Radical Ownership, Relentless Execution: We don't just ship- we own outcomes and drive results.
Requirements
- Experience with modern data stack tools: Databricks, Snowflake or BigQuery, Airflow or similar orchestration, Looker/Tableau or equivalent BI tools.
Nice to have
- Translate ambiguous business questions into data solutions
- /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.
- Experience with dbt is a plus.
Skills
- Databricks, Snowflake or BigQuery, Airflow or similar orchestration, Looker/Tableau or equivalent BI tools.
- Strong communicator who can make technical tradeoffs legible to non-technical stakeholders.
- Familiarity with Databricks Unity Catalog, Delta Lake, or Spark.
- GCP experience.
Benefits
- Company Overview Function Health is the AI operating system for health, designed to empower people to live 100 healthy years.
- We are redefining how individuals understand, measure, and improve their health by moving beyond the limitations of traditional care and enabling comprehensive, continuous insight into human biology.
- We are growing our team and seeking out world-class talent that deeply believes in our mission to positively impact global health, has a relentless bias toward action, and a growth mindset.
- Role Function Health is building the most comprehensive picture of human health ever assembled and making sense of that data is core to our mission.
- Collaborate cross-functionally: Translate ambiguous business questions into data solutions; work with product engineering to improve event logging and measurement coverage.
Company info
- We are aligned in purpose, prioritization, and speed.
- We gather diverse perspectives to make informed decisions.
- We clear paths for each other and move fast together.
- We communicate clearly and respectfully, rallying around shared goals.
- We are ruthlessly aligned to our mission- and leave ego at the door.
- We disagree and commit.
- We don't tolerate politics or withholding information.
- We operate with honesty, transparency, and respect.
- One Team, Moving Fast: We are aligned in purpose, prioritization, and speed.
- We're looking for a Staff Analytics
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This listing is sourced directly from Function Health's careers page and normalized into a canonical job model.