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Founding Data Engineer

Reducto· Data/Engineering
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San Francisco, CAFull-timePosted 2w ago

About the role

Founding Data Engineer responsible for building Reducto's data infrastructure from the ground up, owning the entire data stack, pipelines, and data reliability to enable trusted, scalable analytics and AI tooling.

Responsibilities

  • Own our core data systems (including Snowflake, Postgres, Clickhouse, and various data lakes), orchestration, transformation, and set the direction for how the stack evolves.
  • Build and own the pipelines that unify product usage, sales, and finance data across APIs, webhooks, and third-party systems.
  • Model raw data into clean, documented tables the whole company can query with confidence.
  • Own the reliability of our data and set the standards for it, from tests, freshness checks, and lineage to clear ownership of what "correct" means, so trust in the data holds as we scale.
  • Partner with Eng on usage data, and with Finance, Ops, and GTM on the metrics behind the business.
  • Use AI to build faster, and keep the foundation clean enough for AI tooling to run reliably on top of it.

Qualifications

  • 5+ years of experience in data engineering
  • Strong command of SQL, Python, and dbt
  • Experience with a cloud warehouse like Snowflake
  • Built and owned data pipelines in production, end to end
  • Ability to design foundational data architectures that scale
  • Ability to translate vague requests into clear deliverables and negotiate priorities

Skills

Required:SQLPythondbtSnowflake

Benefits

  • Unlimited PTO
  • Daily Lunch
  • Commuter Reimbursement
  • Comprehensive Insurance (medical, dental, vision)
  • Health and Wellness Budget up to $150 per month
  • Parental Leave, flexible scheduling
Last updated Oct 9, 2026. Interested? Apply on the company site.
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About Reducto

The most accurate API to parse documents

Reducto offers robust and reliable document ingestion for any workflow. Our API allows you to convert complex, unstructured documents into structured outputs that are perfect for RAG, process automation, and more.

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