Location

San Francisco, CA

Employment Type

Full time

Department

Engineering

What you will do and achieve:

• 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.
• The team goes into the office 5 days a week in San Francisco (walking distance to Caltrain).