Empowering food startups to scale and succeed
Factory is a Bethlehem, Pennsylvania-based scale-up facility and investor specializing in food and beverage brands. With a focus on helping startups compete against established companies, Factory provides resources such as operational support, strategic guidance, and access to a network of industry ...
Factory offers competitive equity options, flexible PTO, and a supportive remote work policy to accommodate diverse work styles....
Factory fosters a collaborative culture that emphasizes innovation and agility, empowering startups to rapidly adapt and thrive in the competitive foo...
Factory • San Francisco, CA
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.
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.
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).
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