Anduril
Supplier Quality Data Analytics Engineer
$146K–$194K
Costa Mesa, California, United States · Full-time · Posted Oct 6, 2026
- Experience
- 2+ years in analytics, data engineering, quality engineering, or operations engineering roles; preferably in complex hardware technology or manufacturing industries.
- Education
- Bachelor's degree in Analytics, Data Science, Computer Science, Industrial Engineering, Quality Engineering, or related technical field.
About the job
Build analytics infrastructure, dashboards, and automated workflows that help Supplier Quality Engineering monitor supplier performance and improve supplier quality outcomes.
What you'll do
- Transform ERP and QMS data with SQL; build supplier scorecards, dashboards, alerts, and automated reporting workflows.
- Partner with quality, supply chain, production, and engineering teams to define metrics and manage analytics projects.
- Embed AI in workflows to identify non-conformance patterns and predict supplier risk; train users and support adoption.
What they ask for
- Bachelor's degree in a related technical field.
- Expertise in SQL and data visualization platforms.
- Strong Microsoft Excel proficiency, including advanced formulas, live database connections, and VBA.
- Proficiency in at least one additional programming language; ability to relocate or be local to Costa Mesa, CA, and travel up to 10%.
Nice to have
- Supplier quality experience, familiarity with QMS standards, or experience with ERP/MRP and QMS platforms.
- Working knowledge of Git/GitHub, APIs, JSON/XML, or statistical methods for quality analysis.
Pay
$146,000 — $194,000 USD (base salary)
Tools
SQL, Palantir's Foundry, GitHub, Microsoft Excel, VBA, Tableau, Looker, Power BI
AI focus
Embed AI via Palantir's Foundry platform to identify patterns in non-conformance data, predict supplier risk, and distinguish meaningful signals from noise.
Model-written summary · the original posting is authoritative