Senior Data Engineer, Quality Intelligence

About the role

This is a senior, hands-on data engineer role at Anduril's Atlanta manufacturing operations. You will own end-to-end data and analytics work that shows up directly on the factory floor. You'll pull from real production systems (ERP, MES, QMS, inventory), build pipelines and ontologies in Palantir Foundry and Databricks, and partner with manufacturing engineers, ML practitioners, and program quality leads to ship analytics products operators actually use. You will be expected to use AI aggressively in your own work: to draft pipelines, write tests, generate dashboards, explore unfamiliar data, and accelerate the repetitive parts of the job. You will also be expected to be near the hardware. Manufacturing is a building full of people who need answers from your data, and the best engineers on this team walk the line, ask “what is this part,” and let that shape the schema. You will partner directly with the site's applications lead to deliver analytics the production floor depends on. The architectural decisions you make here set the template for our other manufacturing sites.

Responsibilities

• Own analytics architecture for the Atlanta site: Design, build, and operate the production scorecards, Piece Part Plan pipelines, and inspection-data analytics the site runs on. Decisions you make set the pattern for other sites.
• Investigate data quality: When a dashboard is inaccurate or a number looks wrong, you are the lead investigator. Perform deep-dive analysis in SQL and Python, trace problems through the stack, identify the root cause, and fix it at the source.
• Drive technical improvements: Implement robust data-quality checks, validation rules, and automated monitoring directly in the pipelines. Your data is trusted because you made it provably trustworthy.
• Enable self-service analytics: Model parts, suppliers, work orders, inspections, and dispositions in Foundry so other teams can build their own dashboards without your help.
• Lead data projects end-to-end: Partner with cross-functional teams from requirements through deployment. Translate program quality leads' problems into data products that already exist or can be configured quickly.
• Build AI-assisted analytics tools: Develop small apps and workflows in Foundry Workshop / AIP that reduce repetitive analyst work by 10x, grounded in what you have learned from operators on the floor.
• Raise the bar: Review pull requests, run technical interviews, and shape the engineering practices of a growing site team.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Engineering, Statistics, or a related technical field from an accredited engineering program.
• 5+ years in a hands-on data role (Data Engineer, Analytics Engineer, or similar), with at least 2 years operating at a senior individual-contributor level.
• Production experience with Foundry, Databricks, Snowflake + dbt, or an equivalent cloud lakehouse. You have built and maintained pipelines other teams depend on, not just queried someone else's.
• Strong SQL on large, multi-source datasets: joins across heterogeneous systems, window functions, and performance tuning.
• Strong Python for data transformation and scripting (Pandas, PySpark, or equivalent).
• Demonstrated root-cause analysis on complex data issues. When a number looks wrong, you can trace it back through the stack and explain why.
• Comfortable using AI coding tools in daily work, with a clear view of where they help and where they don't.
• Willingness to work in and around manufacturing operations, including time on the production floor.

Qualifications

• U.S. Person status is required as this position needs to access export-controlled data and/or technology.

Preferred Qualifications

• Experience supporting analytics for hardware manufacturing (NPI, ramp, high-volume) across any of: ERP (Oracle, NetSuite, SAP), MES, QMS, PLM (Teamcenter, Forge), or inventory / warehouse systems.
• Familiarity with quality methodologies: RCCA / 8D, FMEA, GD&T, IQC / OQC, control-plan design.
• Defense or regulated-manufacturing experience (ITAR, AS9100, IPC-610, MIL-STD-1916, or similar).
• Experience building dashboards in Foundry Workshop / Quiver / AIP, Tableau, or PowerBI, with a clear understanding of how upstream data models drive their performance.
• Able to integrate LLMs or ML models into analytics workflows: RAG over operational data, AI-assisted triage, or agentic data exploration.

Benefits

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

• Comprehensive, competitive benefits package (available at little to no cost to employees)
• Candidate data privacy policy

Pay

$144,000—$191,000 USD

Schedule

N/A