Data Engineer
AI summary of the role
Builds and owns data infrastructure for Stuut, serving B2B companies using the accounts receivable platform.
What you’ll do
- Design pipelines ingesting, transforming, modeling data from ERPs and processors
- Build transformation and semantic layer for metric truth across analytics
- Design canonical data model normalizing heterogeneous sources with tests
What you’ll bring
- .NET 3+ years building production data pipelines using Python
- .NET SQL and modern cloud data warehouses
- .NET ETL/ELT workflows at scale using dbt, Airflow, or similar
About Stuut
AI agents that automate collections, cash application, payments, deductions, and disputes for mid-market and enterprise B2B finance teams.
Series A
Source and classification
Internal deployment & tooling · Evidence for this classification:
Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures, Page One and Microsoft. 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. This is a high-impact role for someone who
More from the job description
Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures, Page One and Microsoft. 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. This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it. What You’ll Do Build and own our data infrastructure from the ground up — design pipelines that ingest, transform, and model data from customer ER [... source excerpt omitted ...] d Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks You Might Be a Fit If You… 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 metri
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