Data Engineer
Factory
Data Engineer
Factory
Agent-native development platform automating lifecycle
Our mission is to create a world where software builds and improves itself.
We build the platform for self-improving software development, helping the world's largest enterprise engineering teams turn their organizations into autonomous software factories. Customers including Nvidia, Blackstone, Royal Bank of Canada (RBC), Palo Alto Networks, Adobe, and T-Mobile run Factory to ship code, review PRs, run tests, and deploy continuously - getting smarter with every cycle.
In 2026, we raised $200M at a $5B valuation, bringing our total funding to over $400M. We are backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake).
Factory is bringing autonomy to software engineering, and we’re hiring a Data Engineer to own the systems that power how we understand and operate the business. You’ll architect and evolve the full data stack, designing the pipelines, models, and integrations that turn raw information into reliable, real-time insight across product, engineering, finance, and GTM.
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.
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.
This is an in-office position (5 days/week) in San Francisco (walking distance to Caltrain)
Factory builds an enterprise software platform that automates the full software lifecycle using autonomous agents called Droids. These Droids handle planning, coding, testing, deployment and documentation inside existing developer workflows (IDEs, CLIs, and CI/CD pipelines). The product works by integrating into current toolchains and routing work through a governed, end-to-end software factory that tracks Agent Effectiveness and supports deployments across cloud, on‑premises, and air‑gapped environments. Factory sets itself apart by offering a single, managed software factory rather than a collection of separate coding agents, and by tying together model routing, governance, and cross‑environment deployments for large organizations. Its goal is to scale research, product development, and global go‑to‑market efforts to help enterprise customers automate and streamline the entire software creation process.
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