Staff Data Analytics Engineer

Function Health; United States; On-site; USD 170,000 - 230,000; Full time

Job summary

Function Health is seeking a Staff Analytics Engineer to own the semantic layer powering dashboards, self-serve analytics, and AI-driven data agents. You will collaborate with data scientists, product engineers, and business leaders to ensure accurate answers from data when queried.

The role focuses on building scalable data models, standardized conventions, and robust data contracts. Remote (Americas) with opportunities to influence analytics strategy and data governance.

Qualifications

• 8+ years of analytics engineering or data engineering experience, with progression to staff-level scope and impact.
• Deep SQL expertise and strong Python skills.
• Strong data modeling fundamentals — clean, extensible, well-documented models; dbt a plus.

Responsibilities

• Own the semantic layer: design and maintain metrics, dimensions, data models as single source of truth.
• Architect for AI-readiness: power AI-driven analytics with clean schemas and strong data contracts.
• Drive data quality end-to-end: add observability, testing, and alerting in pipelines.

Skills

SQL

Python

Data modeling

Communication

Analytics architecture

Tools

Databricks

Snowflake

BigQuery

Airflow

Looker/Tableau

dbt

Job description

Role

Staff Analytics Engineer — Remote (Americas) | Data | Remote | Full-time | Contract-to-Hire

Overview

Function Health is building the most comprehensive picture of human health and making sense of that data core to our mission. We are looking for a Staff Analytics Engineer to own the semantic layer that powers dashboards, self-serve analytics, and AI-driven data agents. This role works with data scientists, product engineers, and business leaders to ensure accurate answers from our data when queried.

Key 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 organization.
• Collaborate cross-functionally: Translate ambiguous business questions into data solutions; work with product engineering to improve event logging and measurement coverage.

Qualifications / Skills

• 8+ years of analytics engineering or data engineering experience, with progression to staff-level scope and impact.
• Deep SQL expertise and strong Python skills.
• Strong data modeling fundamentals — clean, extensible, well-documented models; ability to enforce standards 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.
• Strong communicator able to explain technical tradeoffs to non-technical stakeholders.

To Be A Strong Fit You Also Need

• Bias Toward Action: Demonstrated initiative, decision-making under uncertainty, and ability to move projects forward.
• Entrepreneurial Spirit: Adaptability with a knack for building and optimizing processes.
• Communication: Ability to explain complex concepts to non-technical audiences.
• Remote Work Adaptability: Comfort with remote work and staying productive with distributed teams.
• Continuous Improvement: Willingness to question assumptions and pursue ongoing growth.

Nice-to-Have Skills and Experiences

• 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.

Core Values

• Ruthless Prioritization:
  • We don’t let perfect get in the way of progress.
  • We move quickly to drive value, not perfection.
  • We prioritize what drives impact.
  • We never compromise on standards of excellence.
• Member-First, Always:
  • We design and deliver as if caring for someone we love.
  • We prioritize responsiveness, peace of mind, and outcomes.
  • We empower members with truth, clarity, and care.
• One Team, Moving Fast:
  • 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.
• Radical Ownership, Relentless Execution:
  • We own outcomes and drive results.
  • We act with urgency and precision.
  • We anticipate, initiate, and follow through.
  • We embrace new tech to deliver better outcomes.
• Mission Over Ego:
  • We are aligned to our mission and operate with honesty and respect.
• Sustained Integrity in Every Detail:
  • We obsess over accuracy, quality, and clarity in everything we do.
  • We prioritize clinical precision and data integrity.

Why You’ll Love Working With Us

We offer a competitive salary and benefits, flexible hours, and a dynamic environment that encourages creativity and innovation. We are an equal opportunity employer and value diversity.