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 $100M Series C, bringing total funding to $215M. The round was led by Menlo Ventures, with participation from Thrive Capital, Index Ventures, J.P. Morgan Growth Equity Partners, Maverick Ventures, Y Combinator, BoxGroup, Atomico, Daybreak, and Operator Partners.
Learn more about our Series C here: Nourish Blog, Bloomberg, Fierce Healthcare, Digital 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.
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.
- Improve observability, monitoring, and platform reliability.
- Build the governance, semantic layer, and self-service capabilities that power trusted analytics and AI.
- Help establish production-ready infrastructure for AI and machine learning workloads.
- Turn recurring operational pain points into automation, tooling, and reusable platform capabilities.
- You have 5+ years of experience building modern data platforms or infrastructure.
- You've owned production data pipelines and cloud data warehouses.
- You're highly proficient in SQL and have experience with Snowflake and dbt (or similar technologies).
- You've improved platform reliability, performance, and cost through thoughtful architecture and automation.
- You care about building trusted, well-governed data systems that enable self-service analytics.
- You're excited about the role AI will play in the modern data platform.
- You communicate technical tradeoffs clearly and enjoy enabling other engineers and business teams.
The Nourish Bar
Our Values
Why Nourish Exists
How We Work
Comp Philosophy
Benefits
Skills Required
- 5+ years building modern data platforms or infrastructure
- Ownership of production data pipelines and cloud data warehouses
- Highly proficient in SQL
- Experience with Snowflake
- Experience with dbt (or similar transformation frameworks)
- Experience with ingestion tools (e.g., RudderStack, Fivetran)
- Experience improving platform reliability, performance, and cost via architecture and automation
- Experience building governance, semantic layers, and self-service analytics
- Strong communication of technical tradeoffs and ability to enable engineers and business teams
- Legally authorized to work in the U.S.
- NYC-based (2-3 days/week) preferred; exceptional remote candidates considered
- Excitement about AIs role in modern data platforms
What the Team is Saying
Nourish Compensation & Benefits Highlights
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Healthcare Strength — Full-time registered dietitians are eligible for employer-sponsored health, dental, and vision insurance. Company materials emphasize W-2 status with core medical benefits for those meeting full-time thresholds.
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Leave & Time Off Breadth — PTO and paid parental leave are part of the package, with careers materials citing around 20 days of annual leave. This indicates broader time-off coverage relative to contractor-style arrangements.
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Flexible Benefits — Remote-first setup offers schedule autonomy and location flexibility. Extras such as home-office support, learning/development allowance, and equity are highlighted for applicable roles.
Nourish Insights
What We Do
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.
Why Work With Us
Health is the most important thing in life, and the American healthcare system is completely broken. Nourish is building a new system from the ground-up. We hire people with grit, ownership, and heart; people that love solving hard problems, move fast, think from first principles, and push each other to grow.
Gallery
Nourish Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our team is a mix of both remote & local (in NYC - soon to also be in SF). For NYC-based roles, we encourage people to come in to collaborate, have team lunches, and join fun happy hours but you to choose the setup that works best for you!
