Data Engineer

About the role

This is a Member of Technical Staff (Data Engineering) opportunity with a Seed-stage New York company building AI agent software that helps pharmaceutical marketers plan campaigns and produce compliant, reference-backed content. The posting is thin on detail, so confirm scope with the hiring team before submitting candidates. The role builds the company’s media data foundation: ingesting partner logs daily, reconciling records keyed by provider identifiers (NPI), and linking pharma creative to real-world performance. The stack named across the listing includes Python and the major cloud warehouses and platforms (BigQuery, Snowflake, Databricks, Redshift). Years of experience are not stated. Expect a data engineer comfortable with messy third-party data and entity reconciliation. This is an on-site role in New York City. Note that the business sits in pharma marketing rather than provider-side healthtech. We're looking for someone curious, pragmatic, and eager to work across the stack with a small senior team. You'll own end-to-end delivery of major features, influence architecture, and mentor engineers.

What you'll do

• Ship customer-facing features on a weekly cadence.
• Partner with design and product on scoping and trade-offs.
• Drive technical quality through review, testing, and docs.
• Mentor one or two engineers on your team.

Requirements