nest-health - Senior Analytics Engineer

• Strong dbt fundamentals. You think about testing, documentation, and downstream consumers as part of the definition of done, not afterthoughts. A model that runs isn't a model that's finished. You write tests with real logic: catch a broken join, catch a silent upstream change before a clinician sees wrong data. • Snowflake depth: schema design, query performance, warehouse cost management, governance. You know what a well-run Snowflake environment looks like and can tell when you're not in one. • AWS orientation. We're migrating toward AWS and you'll be doing data engineering work as part of that transition. Prior experience is a plus; a clear path to getting there works too. • Pipeline orchestration. You've worked with Airflow, Prefect, Dagster, or something comparable. You have opinions about the tradeoffs and can make a call on what fits a stack like ours. • Python fluency. You can read, write, and debug it comfortably. You're comfortable using AI tools as part of your workflow when they help you move faster. • Healthcare data literacy. You don't need prior healthcare experience, but you need to be able to explain what an eligibility file is, what a care gap means, and why payer claims look different from clinical encounter data. Medicaid experience is a real advantage. • Interest in AI. We’re building clinical AI products, and the data platform is what makes them work. You don’t need to be an ML expert, but you should care about building the infrastructure that makes those systems possible and trustworthy. • Stakeholder communication. This isn't a heads-down engineering role. You'll sit with a CFO or a clinical director, translate what a number means and why it changed, and make them trust the data. • WHAT THIS IS NOT • This isn’t a dashboard-building role. We’re betting on self-service analytics for reporting. Your work will be the foundation those tools depend on, not the dashboards themselves. • Not a people management role today. This is an individual contributor role with real ownership. That said, Nest’s data function today is loosely formed; we’re tightening it. The person who builds it will be a candidate to lead it as the company scales. • 5+ years owning the transformation layer of a modern data stack. Not contributing to it, owning it. • Production dbt. Strong Snowflake governance. Python you can comfortably read, write, and debug. • AWS experience preferred, or strong ability to ramp quickly, especially in a HIPAA-aligned environment. • Experience working with how data supports value-based care operations in Medicaid populations is a plus. Similarly, familiarity with CRM & EHR data and workflows. • Uses AI in day-to-day work and is interested in where it meaningfully changes the system, not just productivity. • Fully remote. We hire the best people regardless of location. • You own what you build. No handoffs. No separate ops function. • Everyone uses AI. That's not a differentiator here, it's the floor. • We don't measure what ships. We measure what changes for the families we serve.