Staff Analytics Engineer: AI-Ready Data Platform, Remote

53 Stations; United States; Hybrid; USD 180,000 - 280,000; Part time

Job summary

Function Health is seeking a Staff Analytics Engineer to own the semantic layer of our data platform, enabling reliable analytics for dashboards, self-serve analytics, and AI-powered data agents.

You will collaborate with data scientists, product engineers, and business leaders to ensure accurate answers to questions about our data, with a focus on clean models, governed metrics, and AI readiness. This is a fully remote role across the US.

Qualifications

• 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.

Responsibilities

• Own the semantic layer; design and maintain metrics, dimensions, and data models serving as the single source of truth.
• Architect for AI-readiness; structure our Databricks and GCP-based data platform for AI-driven analytics agents.
• Drive data quality end-to-end; build observability, testing, and alerting into pipelines.
• Enable self-serve analytics; partner with product, clinical, and business teams to deliver tooling and dashboards.
• Set the standard; establish data modeling conventions, documentation practices, and code review norms.
• Collaborate cross-functionally; translate business questions into data solutions and improve event logging.

Skills

8+ years analytics/data engineering

SQL

Python

data modeling

dbt

Databricks

Snowflake/BigQuery

Airflow

Looker/Tableau

data systems

communication

Tools

Databricks

Snowflake

BigQuery

Airflow

Looker/Tableau

Job description

Function Health is seeking a Staff Analytics Engineer to own the semantic layer of our data platform, enabling reliable analytics for dashboards, self-serve analytics, and AI-powered data agents.

You will collaborate with data scientists, product engineers, and business leaders to ensure accurate answers to questions about our data, with a focus on clean models, governed metrics, and AI readiness. This is a fully remote role across the US.