Staff Data Analytics Engineer

Job not on LinkedIn

🔥 16 minutes ago

🌐 United States, Canada, +2 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇲🇽 Mexico – Remote 🇧🇷 Brazil – Remote

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Function Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2022

🏥 Healthcare

👥 B2C

🔥 Funding within the last year

💰 $450M Debt Financing on 2026-07

Healthcare • B2C

Function Health is a consumer-focused healthcare company that provides comprehensive, subscription-based diagnostic testing and imaging services. For $365/year it offers 160+ lab tests (performed at 2,000+ labs or via mobile phlebotomy) and access to MRI/CT imaging, with results explained by physicians and supported by AI and tools to share with clinicians. The service is HSA/FSA-eligible and emphasizes early detection and longitudinal monitoring of hundreds to thousands of conditions through recurring testing and clinician interpretation.

📋 Description

• Own the semantic layer by designing and maintaining metrics, dimensions, and data models as the single source of truth • Structure the Databricks and GCP-based data platform for AI-driven analytics agents • Establish clean schemas in Unity Catalog, consistent naming conventions, and strong data contracts • Build observability, testing, and alerting into pipelines • Partner with product, clinical, and business teams to deliver self-serve analytics tooling and dashboards • Establish and enforce data modeling conventions, documentation practices, and code review norms • Translate ambiguous business questions into data solutions • Collaborate with product engineering to improve event logging and measurement coverage

🎯 Requirements

• 8+ years of analytics engineering, data engineering, or data architecture experience, with clear progression to staff-level scope and impact • Deep SQL expertise and strong Python skills • Strong data modeling fundamentals • 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 communication skills to make technical tradeoffs legible to non-technical stakeholders • Experience with health tech or regulated data environments (HIPAA, PHI/PII handling) is a nice-to-have • Familiarity with Databricks Unity Catalog, Delta Lake, or Spark is a nice-to-have • Experience building or integrating with AI/LLM-powered analytics tools or data agents is a nice-to-have • GCP experience is a nice-to-have

🏖️ Benefits

• Competitive salary and benefits package • Flexible working hours • Dynamic work environment where creativity and innovation are encouraged

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