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It’s time you own your health. Function includes 160+ lab tests and personalized protocols for instant action. Tracked over time in one secure place.

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Function Health, co-founded by Dr. Mark Hyman, is a brand dedicated to helping you take control of your health and live a fulfilling life. With a focus on awareness and empowerment, Function offers a lifelong routine of 100+ lab tests for your whole body, including thyroid, hormones, fertility, autoimmunity, heart, kidney, liver, and more. These lab results are delivered directly to you along with insights from top doctors, giving you a deep understanding of what is happening within your body. The Function team is driven by personal experiences with health challenges and a desire to make healthcare more accessible and user-friendly. They believe in removing complexity, placing advanced health technologies at your fingertips, and prioritizing your privacy. Their ultimate goal is to empower you to avoid disease and feel your best for a lifetime. Function Health is here to support you every step of the way on your health journey. Welcome to a brand that is all about you and your well-being.

Function Health

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Company mission
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Empowering people to live 100 healthy years.

About Function Health
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With the predominant model of healthcare being routine checkups and care for severe discomfort, chronic disease and health disparity are on the rise in the US. Function Health is a company that promotes a continuous mode of healthcare by removing barriers to lab testing.

Founded by former employees at Google Research, Meta, Fitbit and Tonal, Function Health provides subscribers with new ways to manage their health, opting for preventative measures rather than treatment. It does this by providing members with all-in-one lab testing, with more than 100 different tests available. It quantifies results and insights in an accessible and actionable manner, making caring for your health easier to manage.

Having only come out of stealth in 2023, it's impressive to see Function already secure a substantial Series B round and a 50,000-plus membership base. Its disruptive model of preventative healthcare is clearly turning heads, and it will use its fresh funding to scale its platform to a wider market.

Who you are
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*   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
*   Bias Toward Action: Demonstrated ability to take initiative, make decisions under uncertainty, and move projects forward even in the face of ambiguity. We value individuals who are self-starters and ready to act on opportunities and challenges alike
*   Entrepreneurial Spirit: Strong adaptability to changing business needs with a knack for building and optimizing processes. Your entrepreneurial mindset will be crucial in navigating the dynamic landscape of our industry, ensuring our platform remains competitive and responsive to user needs
*   Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders. Effective communication is vital for cross-functional collaboration and ensuring alignment across our organization
*   Remote Work Adaptability: Comfort with remote work environments, demonstrating the ability to stay productive and connected with the team irrespective of physical location
*   Continuous Improvement: A willingness to question assumptions and a commitment to continuous improvement. Your openness to feedback and dedication to personal and professional growth will contribute significantly to our collective success

### Desirable

*   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

What the job involves
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*   Function Health is building the most comprehensive picture of human health ever assembled and making sense of that data is core to our mission
*   We're looking for a Staff Analytics Engineer to own the semantic layer that sits at the heart of our data platform: the trusted, well-modeled foundation that powers dashboards, self-serve analytics, and increasingly, AI-driven data agents
*   This isn't a greenfield "figure out what to build" role. We have a platform. Now we need someone to make it exceptional, clean models, a well-governed metrics layer, and the architecture to let AI query our data reliably and accurately
*   You'll collaborate closely with data scientists, product engineers, and business leaders to ensure that when anyone (or anything) asks a question about our data, they get the right answer
*   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
*   Your dedication to these responsibilities will directly contribute to the success of our platform and the satisfaction of our users. We are looking for a proactive, skilled, and forward-thinking individual to join our team and help shape the future of our services

**Work Arrangement:** Remote from Canada or US

**Contract Type:** Contract-to-Hire

**Level:** Senior and Expert level

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Data Engineering

Senior Data Engineer

Analytics Engineering

Data Modeling

Data Quality

A unified analytics platform, powered by Apache Spark

Databricks

dbt helps data teams work like software engineers—to ship trusted data, faster.

Seeking a Staff Data Analytics Engineer to own the semantic layer of our data platform, ensuring clean models and AI-readiness. Collaborate with cross-functional teams to drive data quality and enable self-serve analytics.

Function Health

About Function Health

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Staff Data Analytics Engineer

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