Data Engineer, Infrastructure FinOps
Anduril - Costa Mesa, California, United States
Posted Apr 2, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Engineer, Infrastructure FinOps Costa Mesa, California, United States Anduril Industries is a defense technology company with a mission to transform U.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 Anduril's Infrastructure Engineering organization provides the digital foundations for all aspects of our business. We are evolving into a more data-driven approach for designing, building, and managing the critical infrastructure that ingests, transforms, and serves massive datasets to power analytics, machine learning, and intelligent applications. ABOUT THE JOB We are seeking a highly skilled Data Engineer with a strong software engineering foundation to help build and scale our next-generation data platform. This is a high-impact role where you will have the autonomy to architect robust systems that unlock critical business insights from complex, large-scale data WHAT YOU'LL DO Design and Build Scalable Data Pipelines: Architect, develop, and maintain robust and efficient ETL/ELT pipelines to process petabyte-scale data from a wide variety of sources using platforms like Google BigQuery , Databricks,
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