Software Engineer, Data

Factory; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Factory is hiring a Data Engineer to own the data stack powering real-time insight across product, engineering, finance, and GTM. You’ll architect and evolve pipelines, models, and integrations that turn raw information into reliable decision-ready data.

You’ll build data models and warehouse architecture for analytics and reporting, design scalable pipelines with dbt, Airflow, or Dagster, and drive data quality, observability, governance, and a self-serve analytics culture.

Qualifications

• 4+ years of experience in data engineering or a full-stack data role with deep SQL and proficiency in Python or JavaScript.
• Hands-on data modeling, warehouse architecture, and BI-oriented schema design with dbt, Airflow or Dagster.
• Experience supporting or building BI environments.
• Strong statistical intuition and experimentation framework experience.

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 systems.
• Create integrations that bring third-party and operational data into a unified, trusted environment.
• Own the reporting surface from core datasets to leadership dashboards.
• Drive data quality, observability, governance, and documentation while enabling self-serve analytics.

Skills

SQL

Python

JavaScript

Data modeling

Warehouse architecture

BI tools

Experimentation

dbt

Airflow

Dagster

Job description

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 the pipelines, models, and integrations that turn raw information into reliable, real-time insight across product, engineering, finance, and GTM.

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.

This is an in-office position (5 days/week) in San Francisco (walking distance to Caltrain)