Supplier Quality Data Analytics Engineer — Foundry Powered

Anduril; Costa Mesa (CA); On-site; USD 146,000 - 194,000; Full time

Job summary

Anduril Industries seeks a Supplier Quality Data Analytics Engineer embedded in the Supplier Quality Engineering team to build data infrastructure, dashboards, and automated workflows. You will enable real-time visibility into supplier performance, non-conformance trends, and incoming inspection results using Palantir Foundry.

You will craft tools that drive measurable improvements in supplier quality, from SCAR management to ASL governance, while partnering with quality, manufacturing, and

Qualifications

• 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, for analysis, data visualization, and automation
• Ability to relocate or be local to Costa Mesa, CA
• Ability to travel up to 10% of the time

Responsibilities

• 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
• Develop automated alerting and escalation workflows for non-conformance trends, repeat defects, and at-risk suppliers
• Eliminate repetitious processes — such as manual inspection data compilation, SCAR status tracking, and supplier report generation — with programmatic automation
• Manage cross-functional projects with clear and concise communication on timelines, partnering with supply chain analytics, production quality, and engineering teams
• Assess and incorporate external data sources that could bring valuable insight to supplier quality risk management
• Educate supplier quality engineers with training and documentation on analytics tools, and drive user adoption through a continual feedback loop
• Embed AI into workflows via Palantir's Foundry platform to help identify patterns in non-conformance data, predict supplier risk, and drive signal from noise

Skills

SQL

Data visualization

Excel

Python

Palantir Foundry

Git/GitHub

Relocation

Education

Bachelor's degree in Analytics/DS/CS/Industrial Eng/Quality Eng

Tools

Palantir Foundry

GitHub

ERP/MRP systems

Job description

Anduril Industries seeks a Supplier Quality Data Analytics Engineer embedded in the Supplier Quality Engineering team to build data infrastructure, dashboards, and automated workflows. You will enable real-time visibility into supplier performance, non-conformance trends, and incoming inspection results using Palantir Foundry.

You will craft tools that drive measurable improvements in supplier quality, from SCAR management to ASL governance, while partnering with quality, manufacturing, and