Security Data Engineer

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. They are seeking a Security Data Engineer to build visibility across Anduril and protect the infrastructure around advanced defense technology products by designing and implementing cutting-edge data pipelines.

Responsibilities:

• 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)

Requirements:

• 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 systems in cloud environments and familiarity with deploying code through CI/CD pipelines
• Ability to work autonomously and take ownership of complex projects
• Must be eligible to obtain and maintain a U.S. TS clearance
• Experience building high-volume log ingestion and storage pipelines
• Experience with AWS, Azure, or GCP security ecosystems and tooling
• Experience with supporting multiple access patterns for data stored in various formats (using tools other than Splunk)
• Experience with open tables formats like Iceberg or Delta Lake