Data Engineer, Quality Intelligence

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

You will own end-to-end data and analytics work that shows up directly on a factory floor. You'll pull data from real production systems (ERP, MES, QMS, Inventory), shape the data into pipelines and ontologies in Palantir Foundry and Databricks, and partner with engineers, ML practitioners, and program quality leads to ship analytics products people actually use.

Responsibilities:

• Support & Maintain Data Analytics: Support analytics and investigations utilizing existing tools and capabilities.
• Investigate Data Quality: Act as a lead technical investigator for data quality issues.
• Troubleshoot & Optimize: Support the analytics team by troubleshooting data access issues, improving pipeline performance for faster dashboard loads, and ensuring the overall health and reliability of the quality data ecosystem in Foundry.
• Drive Technical Improvements: Implement robust data quality checks, validation rules, and automated monitoring directly within data pipelines to proactively prevent future data quality issues and eliminate variance.
• Enable Self-Service Analytics: Partner closely with cross-functional teams and ML Engineers to understand current and future data needs.
• Lead Data Projects: Collaborate with partner teams on analytics initiatives from requirements gathering through deployment.
• Build AI-Assisted Tools: Develop small apps and workflows (often in Foundry Workshop / AIP) that reduce repetitive analyst work by 10x, leveraging operations knowledge gained directly from conversations with your stakeholders.
• Capability Discovery: Partner with program quality leads who don't yet know what Quality Intelligence can do for them.

Requirements:

• Bachelor’s degree in Data Engineering, Computer Science, Statistics, Engineering, or a related technical field,or equivalent practical experience.
• 3+ years in a hands-on data role: Data Engineer, Analytics Engineer, BI Engineer, or similar.
• Production experience with Foundry, Databricks, Snowflake + dbt, or an equivalent cloud lakehouse,you have built and maintained pipelines that other teams depend on.
• Strong SQL skills on large, multi-source datasets (joins across heterogeneous systems, window functions, and performance tuning).
• Strong Python skills for data transformation and scripting (Pandas, PySpark, or equivalent).
• Demonstrated ability to perform root-cause analysis on complex data issues,when a number looks wrong, you can trace it back through the stack and explain why.
• Comfort using AI coding tools in your daily workflow, with a clear view of where they help and where they don't.
• Willingness to work in and around manufacturing operations, including periodic time on the production floor and at remote sites.
• Strong cross-functional communication skills, with the ability to hold substantive conversations with engineers, non-technical operators, and program leadership.
• Must be a U.S. Person (U.S. Citizen or Permanent Resident) due to ITAR/export control regulations.