Anduril Industries
Data Engineer, Manufacturing Quality
About this role
Anduril Industries seeks a Data Engineer to build and operate analytics products that drive manufacturing quality on the shop floor. You'll own end-to-end data pipelines, dashboards, and AI-assisted workflows that translate raw production data into actionable intelligence for hardware quality teams.
What you'll do
- Design and operate production scorecards, Piece Part Plan pipelines, and inspection-data analytics for the Atlanta facility
- Build robust data pipelines from ERP/MES/QMS systems using Palantir Foundry and Databricks
- Investigate data quality issues and trace anomalies back through the technical stack to identify root causes
- Implement automated data-quality checks and validation rules to ensure pipeline trustworthiness
- Develop AI-assisted workflows and small applications in Foundry Workshop to reduce manual analyst work
- Partner cross-functionally with quality leads and manufacturing engineers from requirements to deployment
What they're looking for
- Data pipeline design and implementation (Palantir Foundry, Databricks, or equivalent)
- Advanced SQL and Python for data analysis and troubleshooting
- Manufacturing domain knowledge (quality gates, shop-floor workflows, ERP/MES/QMS systems)
- Data quality validation and monitoring
- AI tools for productivity (Claude, Cursor, Copilot, AIP)
- Cross-functional collaboration and stakeholder communication
- Data modeling and ontology design
- Dashboard and visualization design
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Anduril Industries
Anduril Industries builds autonomous defense systems including underwater vehicles, unmanned aircraft, and electronic warfare platforms for the Department of Defense. The company is hiring across mechanical engineering, mission operations, software development, technical leadership, and advanced manufacturing roles to support the design, deployment, and production of these mission-critical systems.
- Website
- anduril.com
Likely interview questions
- Walk us through a time you built a data pipeline for a manufacturing system—what challenges did you face with data quality?
- Describe your experience with Palantir Foundry or Databricks. How have you used it to solve production problems?