Level

Factory

Software Engineer, Data

AI in this role

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)

How we score this

Software Engineer, Data at Factory scores 18 out of 100 for how much of the daily work is AI. That makes it AI Level 1 of 4 (Little AI). The level is about AI in the job, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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