Security Data Engineer

Company: Anduril Industries

Location: Ashville, Ohio, United States; Atlanta, Georgia, United States; Boston, Massachusetts, United States; Costa Mesa, California, United States; Remote; Seattle, Washington, United States; Washington, District of Columbia, United States (Remote)

Salary: $129k - $220k per year

Type: Full-time

Remote: Yes

Posted: 2026-07-01

About this role

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 Information Security team is looking for a security data engineer to focus on building visibility across Anduril to protect the infrastructure around our advanced defense technology products. This is a role with wide berth that will have the latitude to design and implement cutting edge data pipelines to support all internal security teams.

### WHAT YOU'LL DO

  • Architect and implement log aggregation pipelines for Anduril infrastructure and applications
  • Contribute to the development and maintenance of a security data lake for centralized security data management
  • Design and implement ETL processes for security data ingestion, transformation, and storage
  • Collaborate with teams to establish best practices for data usage (e.g., search functionality)

### REQUIRED QUALIFICATIONS

  • Familiarity with data lake architectures and best practices for security data management
  • Experience with ETL tools and processes for large-scale data environments (Spark, DuckDB, etc)
  • Strong programming skills in one or more general-purpose languages (Go, Rust, Java/Scala, etc.)
  • Familiarity with one or more infrastructure as code languages (e.g., Terraform, AWS CDK, Pulumi) in a production capacity
  • Ability to develop and maintain sys...

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