Senior Analytics Engineer

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. Rebekah Gee, and Rebecca Kavoussi, Nest is the first-of-its-kind family-based, in-home, and virtual care model; this includes primary adult and pediatric care, mental health and nutrition support, vaccinations and labs, same-and-next-day acute visits, chronic condition and transitions of care management, social services and navigation, and more. Nest’s innovative model has resulted in partnerships, unlocking care for thousands of families across our markets. Nest’s early success has led to national traction across states and payers, laying the groundwork for future expansion to families across the United States.

What does it mean to be a part of a startup?

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 have the chance to be creative, solution oriented, and have your voice heard! You will need to be flexible, accountable, and self-sufficient, and you might take on multiple roles. Here are some things you can expect:

• Role Breadth- Your role may be less defined than in other settings, with the need to wear multiple hats & juggle various responsibilities

• Learning opportunities- you will have the opportunity, at times, to function outside of your standard position and learn about new roles & areas

• Fast Paced- Startups often must move faster than traditional large companies. This means you may be asked to cope with or advise on quick changes regarding systems or processes

• Autonomy- You will need to be highly autonomous, as there is less structure and learning and development than at large orgs. This requires you to be able to learn asynchronously, as well as raise your hand when help is needed, or gaps are identified

• Collaboration- With so many opportunities to build processes and improve how we deliver care to our patients, we rely heavily on one-another to communicate changes effectively to ensure seamless support across functions. This often requires this individual to give and receive feedback frequently and communicate challenges or opportunities effectively.

The Opportunity

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. Every visit creates data. Every interaction helps us better understand the household and improve the care we deliver over time.

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. It's not perfectly documented. Governance is still evolving. It's not yet set up to support the AI products we're building. But the foundation is strong.

We're hiring a Senior Analytics Engineer to help us strengthen that foundation and build what's next.

What you'll own

• 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. In the near term, much of the work will center on moving the platform to AWS. Both require meaningful data engineering judgment. The first 90 days will include auditing what exists, documenting what matters, and fixing what's broken. The payoff is a data platform that can support the clinical products we're building over the next few years.

• You'll own the semantic layer. We're betting on self-service analytics as the primary way the business answers questions. 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 data observability. We need to know about a broken data ingest process before a clinician does. That means monitoring pipelines, alerting on anomalies, and building enough coverage that a silent failure doesn't make it into a home visit.

• 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.