Nest Health

Nest Health

Senior Analytics Engineer

Remote US · Senior

Sponsorship not specifiedDetected 34 days ago
PythonSnowflakeAWSMachine LearningAirflowdbtData EngineeringData ScienceComplianceCRMAuditingHIPAAEHR/EMRLeadershipCollaboration

About the role

  • Nest Health sends clinicians into people's homes.
  • We're the primary care provider for entire households: families managing chronic conditions, caregivers juggling complex needs, and people who can't easily get to a clinic.
  • After two years of operating in the field, we've built a data warehouse and production models that span claims, care gaps, household-level data, and a live ML pipeline.

Responsibilities

  • You'll own the dbt project end to end.
  • That means documentation, testing, dev/prod separation, clean schema design, and making the transformation layer trustworthy enough to support clinical AI.
  • You'll own the semantic layer.
  • Self-service only works if the semantic layer underneath it is solid, so you'll own the metric definitions, data quality standards, and governance processes that make self-service trustworthy.
  • You'll own the orchestration layer. We run pipelines on ADF today; moving to AWS means that goes away and something replaces it. Evaluating the options, making the call, and building it out is yours.
  • Every interaction helps us better understand the household and improve the care we deliver over time.
  • It's not yet set up to support the AI products we're building.
  • We're hiring a Senior Analytics Engineer to help us strengthen that foundation and build what's next.
  • Your work will support both.
  • You'll own data observability.

Requirements

  • You know what a well-run Snowflake environment looks like and can tell when you're not in one.
  • 5+ years owning the transformation layer of a modern data stack.
  • Python you can comfortably read, write, and debug.
  • 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
  • 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.
  • 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

Nice to have

  • AWS orientation.
  • 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.
  • You can read, write, and debug it comfortably.
  • Medicaid experience is a real advantage.

Benefits

  • Who is Nest Health?
  • As the first value-based care provider built for families, Nest is on a mission to make comprehensive medical, behavioral, and social care radically accessible to America's highest risk families.
  • Founded in 2022 by Former Secretary of Health of Louisiana and practicing OB-GYN, Dr.
  • Working at a healthcare startup can be a unique experience with a fast-paced, ever-changing environment that can involve varied workloads, quick changes, and high expectations.
  • Taking a position at a Healthcare startup allows for the opportunity to be high impact in disrupting the US healthcare system.
  • You will need to be flexible, accountable, and self-sufficient, and you might take on multiple roles.
  • Learning opportunities- you will have the opportunity, at times, to function outside of your standard position and learn about new roles & areas
  • That means monitoring pipelines, alerting on anomalies, and building enough coverage that a silent failure doesn't make it into a home visit.

Company info

  • The payoff is a data platform that can support the clinical products we're building over the next few years.
  • What does it mean to be a part of a startup?

Visa & Work Authorization

  • We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any o
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This listing is sourced directly from Nest Health's careers page and normalized into a canonical job model.