Data Engineer

factory; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading technology company based in San Francisco is seeking a skilled Data Engineer to own the systems that provide insights into business operations. The ideal candidate has over 4 years of experience in data engineering and is proficient in SQL, JavaScript, or Python. Responsibilities include building data models, designing pipelines, and ensuring data quality. This position requires office attendance 5 days a week, offering a collaborative work environment for innovation and growth.

Qualifications

• 4+ years of experience in data engineering or full-stack data role.
• Expertise in SQL and proficiency in JavaScript or Python.
• Experience with data modeling and warehouse architecture.

Responsibilities

• Build and refine data models and warehouse architecture.
• Design and scale data pipelines that transform and validate data.
• Create integrations to unify third-party and operational data.
• Own reporting surface including datasets and dashboards.
• Drive data quality, governance, and encourage self-serve analytics.

Skills

SQL

JavaScript

Python

Data modeling

Warehouse architecture

Business intelligence

Statistical intuition

Tools

dbt

Airflow

Dagster

Job description

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.

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