Senior / Staff Data Engineer
About the role
About Us
Health is the most important thing in life, and the American healthcare system is completely broken - poor outcomes, high cost, bad patient experience. We're building a new system from the ground up.
Our mission is to improve people’s health by making it easy to live a healthy lifestyle.
Nourish is the country's largest dietitian-led metabolic health clinic. We’re an AI-native digital health system matching patients with 10,000+ Registered Dietitians, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states. Founded four years ago, we've completed millions of appointments, tripled year-over-year, and partnered with health plans covering 200M+ Americans across 250+ health systems.
In 2026 we raised a Series C, bringing total funding to $215M. The round was led by General Catalyst, with participation from Accel, Thrive Capital, GV, Morgan Health, Y Combinator, and others.
Learn more about our Series C here: Nourish Blog, TechCrunch, Fierce Healthcare, AI Native, The Pulse Podcast.
This is not a job for everyone. We hold an extremely high bar because we believe talent density is our biggest competitive advantage. We're looking for people who actively choose hard, ambiguous problems, who run toward unglamorous work, give and receive candid feedback, and bring relentless resilience without the ego. Our work is important, but we are not self-important. We do this because we’re solving one of the hardest problems in the world, and the problem matters. If that's you, we disproportionately reward it.
About the Role
We are hiring a Senior or Staff Data Engineer to become the first dedicated data engineering hire on Nourish's Data team. This is a high-impact platform role where you'll build the foundation that makes our data faster, more reliable, easier to trust, and more cost efficient as we scale.
Our stack includes RudderStack and Fivetran for ingestion, Snowflake as our warehouse, dbt for transformations, and Omni and Metabase for BI. As AI becomes a core way our teams interact with data, you'll also help build the infrastructure, governance, and semantic layer that enable both humans and AI agents to safely and efficiently access trusted data.
You'll partner cross functionally to improve the entire data platform - from ingestion and modeling to observability, governance, and production data workflows.
This is a full-time role and open to NYC-based candidates (2-3 days/week in office), with exceptional remote candidates considered. Our office is located in Gramercy.
Key Responsibilities:
- Own and improve data ingestion and orchestration across our modern data stack.
- Build a scalable, reliable, and cost-efficient Snowflake platform.
- Partner on dbt architecture, testing, CI/CD, and data modeling best practices.