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Anduril Industries, Inc.

Data Engineer

Anduril Industries, Inc., Costa Mesa, California, United States, 92626


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.As a Data Engineer on the Analytics Team, you will be collaborating with stakeholders across the company to design, build and implement data pipelines and models that enable our next generation of technology to be deployed around the world. You will have a hand in helping shape the data platform vision at Anduril.

Who you are:We’re looking for software and data engineers who are seeking high impact collaborative roles focused on driving operational execution. Ideally you are looking to learn what it takes to build the next generation of defense technology.

You will:

Lead the design and roadmap for our data platform.Partner with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs.Own the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business.

You will love this role if you have:5+ years of experience in a data engineering role building products, ideally in a fast-paced environment.You are motivated by our mission. We are working to solve the biggest problems in defense.Good foundations in Python or another language.Experience with Spark, PySpark, SQL and dbt.Experience with Enterprise Data Systems like Palantir Foundry.Experience with or interest in learning how to develop data services and data products.Experience with AWS, Azure, or GCP security ecosystem, containerization, and associated tooling.Knowledge of data & visualization tools, such as Tableau.Understand the importance of engineering with security’s best practices in mind.You are empathetic: you are eager to see the world from your users’ perspective.You’re energized by business impact & a self-starter: you love to drive the direction of ambiguous projects.Drive to take ownership of and debug complex data transformation pipelines and data models.U.S. Persons status is required as this position needs to access export-controlled data.

Preferred QualificationsAbility to obtain and hold a U.S. Top Secret security clearance.The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process.

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