Senior Data Engineer, Manufacturing Quality

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

& Role The Quality Intelligence team sits at the vital intersection of data, AI, and manufacturing quality at Anduril. We empower our factory floors through three distinct pillars: Analytics, Manufacturing AI, and Vision Inspection . As a Quality Specialist within Quality Intelligence, you will own the end-to-end data and analytics products that directly impact our production lines, hardware quality engineers, and program leaders.

Rather than sitting in a siloed back office, you will operate in a hub-and-spoke model. While HQ builds platform-grade analytics centrally, you will be the boots on the ground in Atlanta—partnering directly with the site's applications lead to localize, run, and scale the analytics our production floor depends on. We build scorecards that catch quality drift before customers do, construct data pipelines that turn raw ERP/MES/QMS data into operational decisions, and deploy AI tools that compress hours of manual triage into minutes.

This position is based at our Atlanta, GA facility and requires up to 25% travel to other Anduril sites and key vendors.

What You’Ll Do

Operate at the Intersection of Hardware & Data: Spend time on the shop floor to deeply understand quality workflows. You will translate physical manufacturing processes into well-designed, actionable digital dashboards and analytics tools. Own Atlanta's Analytics Architecture: Design, build, and operate the production scorecards, Piece Part Plan pipelines, and inspection-data analytics that run the Atlanta facility.

Your local decisions will set the design patterns for other Anduril sites. Wrangle Production Data: Pull from diverse hardware production systems (ERP, MES, QMS, inventory), build robust pipelines and ontologies in Palantir Foundry and Databricks, and partner with ML practitioners to ship analytics products operators rely on. Investigate Data Quality at the Root: When a dashboard is inaccurate or a metric looks off, you are the lead investigator.

You will run deep-dive analyses in SQL and Python, trace anomalies back through the technical stack, identify root causes, and fix them at the source. Drive Technical Rigor: Implement automated data-quality checks, validation rules, and monitoring directly into our pipelines to ensure our quality data is provably trustworthy.

Requirements

gathering to final deployment. Build AI-Assisted Workflows: Develop small applications and automated workflows in Foundry Workshop / AIP that reduce repetitive analyst work by 10x. Leverage AI Aggressively: We expect you to use AI tools (Cursor, Claude Code, Copilot, AIP) to draft pipelines, write tests, generate dashboards, and accelerate the repetitive parts of your day-to-day workflow.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field from an accredited engineering program. Experience: 4+ years in a Data Engineer, Analytics Engineer, or similar role, with at least 2 years of applied data engineering experience directly within a manufacturing or hardware product engineering environment.