San Francisco, United States of America On-site Full-time

Factory is hiring a Data Engineer

Responsibilities

  • Develop and enhance data models and warehouse structures that support product analytics, usage reporting, and business functions.
  • Design, manage, and scale data pipelines responsible for moving, transforming, and verifying data across internal and external systems.
  • Build integrations to consolidate third-party and operational data into a reliable, centralized environment.
  • Take full ownership of the organization's reporting ecosystem, including core datasets, dashboards, and executive metrics used for strategic decision-making.
  • Lead initiatives in data quality, observability, governance, and documentation while enabling teams to adopt self-service analytics practices.

Work Arrangement

On-site — San Francisco

Other

The team works from the office five days a week in San Francisco, located within walking distance of Caltrain.

About company
Factory

Factory is the enterprise platform for agent-native software development. The company's mission is to Bring Autonomy to Software Engineering, enabling teams to build software faster and more efficiently using AI agents.

Their platform integrates across the entire software development lifecycle (SDLC), offering tools like Droid CLI, Desktop, Web/Mobile, Slack, and Jira & Linear integrations. It supports sovereign deployment with options for SaaS, Hybrid, On-Prem, and Air-Gapped environments, meeting enterprises where they are on AWS, Azure, and GCP.

Factory provides deep analytics and agent readiness scoring to measure autonomous progress across repositories, track token consumption, and improve codebase quality. It is trusted by engineering teams at leading companies to securely deploy AI agents while maintaining compliance and reducing infrastructure costs.

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Job Details
Department Engineering
Category data
Posted 7 months ago