11 months ago
Responsibilities
- Build and refine data models and warehouse architecture 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 consolidate third-party and operational data into a unified, trusted environment.
- Own Factory’s reporting surface, including core datasets, dashboards, and leadership metrics.
- Drive data quality, observability, governance, documentation, and self-serve analytics adoption.
- Support or build business intelligence environments and experimentation frameworks.
Requirements
- 4+ years of experience in data engineering or a full-stack data role.
- 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 dbt, Airflow, or Dagster.
- Experience supporting or building business intelligence environments.
- Strong statistical intuition and experience running or supporting experimentation frameworks.
Benefits
- The team works in the San Francisco office five days per week, within walking distance of Caltrain.
Tech Stack
Categories
Data Engineering
About Factory
Factory builds AI agents, called Droids, that bring autonomy to software engineering by automating development workflows for modern engineering organizations. It sells enterprise software and services to help teams evaluate, adopt, and operate these agents within existing tooling and processes. The company is headquartered in San Francisco and is backed by investors including Sequoia Capital and Lux Capital.