Software Engineer, Data
Factory · San Francisco, CA
About this role
## About Factory 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’re backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake). --- ## About the Role 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 pipelines, models, and integrations that turn raw information into **reliable, real-time insight** across product, engineering, finance, and GTM. --- ## What You Will Do - Build and refine data models and warehouse architecture that serve as the backbone for product analytics, usage reporting, and business operations. - Design, operate, and scale pipelines that move, transform, and validate data across internal and external systems. - Create 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; operational familiarity with tools like **dbt**, **Airflow**, or **Dagster**. - Experience supporting or building business intelligence environments. - Strong statistical intuition and experience running or supporting experimentation frameworks. --- ## Location **In-office (5 days/week)** in **San Francisco** (walking distance to Caltrain).
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