Senior / Staff Data Engineer
About Us
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.
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.
- 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.
We'd love to hear from you if:
- 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.
More Information
Data & ML pay context
Based on 1,537 disclosed Data & ML salaries on RoleSuite, the role pays a median of $162K/year, with most offers between $127K and $202K (10th–90th percentile: $102K–$246K).
See the full Data & ML salary breakdown →