Supplier Quality Data Analytics Engineer
A data analytics engineer embedded in Anduril's Supplier Quality Engineering team, building SQL datasets, Palantir Foundry dashboards, scorecards, and automated alerting workflows to track supplier performance, non-conformance trends, and corrective-action effectiveness for defense hardware manufacturing.
- Compensation
- $146K–$194K / yr
- Location
- Costa Mesa, California, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 2+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor's degree in Analytics, Data Science, Computer Science, Industrial Engineering, Quality Engineering, or related technical field
- 2+ years of experience in analytics, data engineering, quality engineering, or operations engineering roles, preferably in complex hardware technology or manufacturing industries
- Expertise in SQL with demonstrated ability to write complex queries across multiple data sources
- Expertise in data visualization platforms such as Tableau, Looker, Power BI, Streamlit, Dash, or Palantir Foundry
- Strong proficiency in Microsoft Excel including advanced formulas, live database connections, and VBA
- Proficient in at least one additional programming language such as Python, R, TypeScript, or similar
- Ability to relocate or be local to Costa Mesa, CA
- Ability to travel up to 10% of the time
Nice to have
- Experience with supplier quality concepts such as incoming inspection, SCAR/CAPA management, supplier audits, ASL governance, and statistical process control (SPC)
- Familiarity with quality management systems (QMS) and standards such as AS9100, ISO 9001, or IATF 16949
- Experience working with ERP/MRP systems (SAP, Oracle, NetSuite, or similar) and QMS platforms, with ability to extract and analyze data from these systems
- Working knowledge of Git/GitHub for version control
- Experience with APIs and parsing JSON/XML responses into structured datasets
- Understanding of statistical methods for quality analysis (Pareto, control charts, capability studies, hypothesis testing)
- Ability to take a project from ideation to an implementation that drives tangible business impact
- Continual desire to learn and use new technologies/software inside and outside of work
Full description
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
The Supplier Quality Engineering team is responsible for ensuring that externally sourced components and assemblies meet Anduril's rigorous quality standards. The team works closely with suppliers, production, and engineering to drive corrective actions, monitor supplier performance, and continuously improve incoming material quality across Anduril's product portfolio. As the organization scales rapidly, data-driven decision making is critical to identifying trends, prioritizing supplier interventions, and measuring the effectiveness of quality programs.
ABOUT THE JOB
As a Supplier Quality Data Analytics Engineer, you will be embedded within the Supplier Quality Engineering organization and serve as the team's dedicated analytics partner. You will build and maintain the data infrastructure, dashboards, and automated workflows that give supplier quality engineers real-time visibility into supplier performance, non-conformance trends, corrective action effectiveness, and incoming inspection results. Using Palantir's Foundry platform as your central resource, you will conduct ad-hoc analysis, produce interactive dashboards, and develop automated workflows that write back to our systems of record. You will gain a deep understanding of supplier quality processes — from incoming inspection and SCAR management to supplier audits and approved supplier list governance — and craft tools that drive measurable improvements in supplier quality outcomes.
WHAT YOU'LL DO
- Use SQL to transform raw ERP and QMS data extractions into structured datasets within a centralized GitHub repository, with a focus on supplier quality metrics (PPM, DPMO, SCAR cycle time, lot acceptance rates)
- Use Palantir's Foundry platform to generate dashboards and automated workflows code repositories for supplier quality reporting
- Build and maintain supplier scorecards that aggregate quality, delivery, and responsiveness data to support supplier review boards and business decisions
- Work with Supplier Quality Engineers and managers to define key performance metrics (e.g., supplier PPM, SCAR closure rate, first pass yield) and implement systems for tracking over time