Security Data Engineer

Anduril Industries

Security Data Engineer at Anduril Industries enhancing data visibility for defense technology infrastructure. Responsible for designing and implementing data pipelines and security data management.

Posted 7/1/2026full-timeRemote • California, District of Columbia, Massachusetts, Ohio, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $129,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and implementing log aggregation pipelines and ETL processes for security data management. Proficient in cloud environments and infrastructure as code, with a strong focus on best practices for data usage and security.

Highest-signal resume keywords

Log Aggregation Pipeline ArchitectureETL Process DevelopmentData Lake ManagementCloud Environment DeploymentInfrastructure as Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Programming in GoProgramming in RustProgramming in JavaProgramming in ScalaETL ToolsData TransformationData IngestionCI/CD Pipeline DeploymentSecurity Data ManagementLarge-Scale Data Environments

Soft Skills

Autonomous WorkProject Ownership

Tools & Technologies

SparkDuckDBTerraformAWS CDKPulumi

Certifications & Qualifications

U.S. TS Clearance Eligibility

Industry Keywords

Data Lake ArchitectureBest Practices for Data UsageSecurity Data Management

Tech Stack

Tools & technologies

AWSCloudETLGoJavaRustScalaSparkTerraformTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Flexible work arrangements
Professional development opportunities