Software Engineer, Data
Join Factory as a Data Engineer to architect and evolve the data stack for real-time business insights.
Posted by employer 9 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Requirements
- Experience
- 4+ years
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the Data Engineer at Factory is responsible for architecting and refining the data systems that drive insights across various business functions. Key skills include expertise in SQL, proficiency in JavaScript or Python, and hands-on experience with data modeling and BI tools like dbt and Airflow. This position is ideal for someone with over four years of experience in data engineering, particularly those who thrive in a collaborative environment focused on data quality and self-service analytics. Factory is committed to enhancing software engineering autonomy, making this a pivotal role in their growth.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Factory's career page.
- Factory has 55 other open roles including Solutions Engineer, Mid-Market, SF, Solutions Engineer, Field Partner Sales Leader, US - Central/West.
- 6527 active Python roles on Joblaze right now.
- 2273 active SQL roles on Joblaze right now.
- 1101 active JavaScript roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3229 roles). See Python salary trends
Quick facts
- Is the Software Engineer, Data role remote?
- No — this is an on-site role in San Francisco, CA.
- How much experience is required?
- At least 4 years of relevant experience for this Software Engineer, Data role.
- Where is the role based?
- Factory is hiring for this position in San Francisco, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, Dagster, JavaScript, Python, SQL, dbt.
- What seniority level is this role?
- Factory targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, Data role at Factory.
From the original posting
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)