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Software Engineer, Data

Factory· Engineering
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San Francisco, CAFull-timePosted 4mo ago

About the role

Data Engineer role focused on owning Factory's data stack, pipelines, models, and integrations to deliver real-time insight across product, engineering, finance, and GTM.

Responsibilities

  • Build and refine the data models and warehouse architecture that serve as the backbone for product analytics, usage reporting, and business operations.
  • Design, operate, and scale the pipelines that move, transform, and validate data across internal and external systems.
  • Create the integrations that bring third-party and operational data into a unified, trusted environment.
  • Own the entire reporting surface at Factory, from core datasets and dashboards to the metrics leadership uses to steer the company.
  • Drive data quality, observability, governance, and documentation while helping teams adopt a self-serve analytics culture.

Qualifications

  • 4+ years of experience in data engineering or a full-stack data role with deep expertise in SQL and strong proficiency in JavaScript or Python.
  • Hands-on experience with data modeling, warehouse architecture, and BI-oriented schema design, along with operational familiarity using tools like dbt, Airflow, or Dagster.
  • Experience supporting or building business intelligence environments.
  • Strong statistical intuition and experience running or supporting experimentation frameworks.

Skills

Required:SQLJavaScriptPythonData modelingBI toolingExperimentation
Nice to have:dbtAirflowDagster
Last updated Oct 15, 2026. Interested? Apply on the company site.
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