Senior / Staff Data Engineer (Medtech)

TL;DR

Senior / Staff Data Engineer (Medtech): Building the foundational data infrastructure for an AI-native metabolic health clinic with an accent on scalability, reliability, and cost efficiency of the data platform. Focus on designing production-ready pipelines, optimizing Snowflake and dbt architecture, and enabling AI agents to access trusted data.

Location: New York, NY (Hybrid: 2-3 days/week) or Remote. Must be legally authorized to work in the U.S.

Company

An AI-native digital health system and the country's largest dietitian-led metabolic health clinic aimed at improving people's health through insurance-covered care.

What you will do

• Own and improve data ingestion and orchestration across the modern data stack (RudderStack, Fivetran).
• Build and maintain a scalable, reliable, and cost-efficient Snowflake platform.
• Drive dbt architecture, including testing, CI/CD, and data modeling best practices.
• Improve observability, monitoring, and overall platform reliability.
• Develop the governance and semantic layer to power trusted analytics and AI agents.
• Establish production-ready infrastructure for AI and machine learning workloads.

Requirements

• 5+ years of experience building modern data platforms or infrastructure.
• Proven experience owning production data pipelines and cloud data warehouses.
• High proficiency in SQL and hands-on experience with Snowflake and dbt.
• Ability to communicate technical tradeoffs clearly and enable other engineers and business teams.
• Must be legally authorized to work in the United States.

Culture & Benefits

• High-talent density environment focusing on solving hard, ambiguous problems.
• Culture of candid feedback, relentless resilience, and low ego.
• Strong financial backing with a recent $100M Series C funding round.
• Hybrid work flexibility in NYC (Gramercy office) or remote options for exceptional candidates.