# Data Engineer at Stuut

- Company: Stuut
- What the company does: Stuut automates your entire order-to-cash process. Collect 40% more revenue with AI agents that actually do the work. Live and collecting cash in days. Backed by a16z.
- Company website: https://www.stuut.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $150K to $200K base salary per year (USD)
- Posted: 2026-09-03
- Apply by: 2026-10-18
- Apply: https://jobs.ashbyhq.com/stuut-ai/04251b6f-289a-4b8b-8980-166d9b91d148
- Page: https://www.1752.vc/careers/jobs/stuut-data-engineer/

## About the role

To build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics.

## What they're looking for

- Have 3+ years of hands-on experience building production data pipelines using Python
- Know your way around SQL and modern cloud data warehouses, experience with Snowflake or BigQuery is a plus
- Have deep experience implementing ETL/ELT workflows at scale using tools like dbt, Airflow, or similar — and have opinions on what good looks like
- Have built or contributed to a semantic / metrics layer and care about metric consistency across surfaces
- Understand data modeling fundamentals and can design canonical schemas that normalize messy, heterogeneous source data into something usable
- Have worked with real-world data from SaaS APIs, ERPs, and third-party integrations — and have battle scars to show for it

Tags: Engineering