Data Engineer, Quality Intelligence

Anduril Industries, Inc.

Job Overview

Location

Costa Mesa, California, United States

Job Type

Full-time

Full Job Description

📋 Description

• Support and maintain data analytics tools by troubleshooting dashboard inaccuracies, guiding users on analytics usage, and implementing improvements to enhance dashboard effectiveness.
• Investigate data quality issues by performing deep-dive analysis using SQL and Python to trace anomalies back to their source in ERP, MES, QMS, or inventory systems.
• Troubleshoot and optimize data pipelines for performance, reliability, and speed, ensuring consistent and timely delivery of analytics to factory-floor users.
• Drive technical improvements by implementing automated data quality checks, validation rules, and monitoring systems directly within data pipelines to prevent recurring issues.
• Enable self-service analytics by building clean, well-structured datasets that empower cross-functional teams to create reliable dashboards, reports, and machine learning models independently.
• Lead end-to-end data projects from requirements gathering through deployment, collaborating with data scientists, engineers, and program quality leads to deliver high-impact solutions.
• Build AI-assisted tools using Palantir Foundry Workshop, AIP, or similar platforms to automate repetitive analyst tasks, aiming to reduce manual effort by 10x.
• Conduct capability discovery by partnering with program quality leads who are unfamiliar with Quality Intelligence capabilities, translating operational problems into existing or quickly configurable data products.
• Work directly on the manufacturing floor to observe production processes, ask questions about parts and workflows, and ensure data schemas reflect real-world operations.
• Use AI coding tools (e.g., Cursor, Claude Code, Copilot, AIP) daily to draft pipelines, write tests, generate dashboards, explore data, and accelerate development—while critically reviewing and validating all AI-generated output.
• Communicate clearly across technical and non-technical audiences, explaining complex data anomalies to directors without jargon and to engineers with precision.
• Maintain documentation and knowledge sharing via Confluence to ensure team continuity and reduce onboarding friction.
• Travel approximately 10–20% to manufacturing and remote sites to support on-site data investigations and stakeholder collaboration.

🎯 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 Palantir Foundry, Databricks, Snowflake + dbt, or an equivalent cloud lakehouse platform
• Strong SQL skills on large, multi-source datasets including joins across heterogeneous systems, window functions, and performance tuning
• Strong Python skills for data transformation and scripting using Pandas, PySpark, or equivalent
• Must be a U.S. Person (U.S. Citizen or Permanent Resident) due to ITAR/export control regulations

🏖️ Benefits

• Highly competitive equity grants included in full-time offers
• Comprehensive, competitive benefits package available at little to no cost to employees
• Salary range of $144,000–$191,000 USD (base only)
• Opportunity to work on mission-critical defense technology with direct impact on national security

Skills & Technologies

Python

Git

Pandas

Remote

Degree Required

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Anduril Industries, Inc.

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About Anduril Industries, Inc.

Anduril Industries is an American defense technology company that develops autonomous systems, sensor networks, and command-and-control software for military and homeland-security applications. Founded in 2017, it designs unmanned aerial vehicles, counter-drone systems, undersea vehicles, and AI-powered surveillance towers, integrating them into a unified operating system called Lattice. The company focuses on rapid hardware-software iteration, open-architecture platforms, and direct contracts with the U.S. Department of Defense and allied governments to address emerging threats across land, sea, air, and cyber domains.

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