Security Data Engineer

Anduril Industries

Remote

Quick summary

Work type: Remote
Location: Ashville, OHAtlanta, GABoston, MACosta Mesa, CASeattle, WAWashington, DC
Salary: $129,000–$220,000 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $165k

This role $174k

$112k most similar roles pay here $232k

This role pays more than 59% of similar roles. Most pay $130,942–$199,125 — the shaded band above. At the midpoint, this role pays about $174k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 2015 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1799 roles with salary data.

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View all roles at Anduril Industries

At a glance

TL;DR · Security Data Engineer

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Anduril's Information Security team seeks a senior-level security data engineer to design and implement advanced data pipelines for infrastructure and application log aggregation, contributing to the development of a centralized security data lake. This role involves creating ETL processes for secure data management and collaborating with internal teams on best practices for data usage. The ideal candidate will have experience with data lake architectures, ETL tools like Spark or DuckDB, and cloud environments such as AWS, Azure, or GCP. Proficiency in programming languages like Go, Rust, Java/Scala, and infrastructure as code languages is essential, along with the ability to work within a CI/CD pipeline framework.

Skills

Terraform AWS Azure GCP Spark DuckDB Go Rust Java Scala CI/CD ETL Python PostgreSQL Kubernetes Prometheus Grafana Iceberg Delta Lake

What you'll do

Architect and implement log aggregation pipelines for Anduril's infrastructure.
Develop and maintain a security data lake for centralized data management.
Design ETL processes for ingestion, transformation, and storage of security data.
Establish best practices for data usage across internal security teams.
Implement systems in cloud environments using CI/CD pipelines.

What we're looking for

Familiarity with data lake architectures and security data management best practices.
Experience with ETL tools for large-scale data environments (e.g., Spark).
Strong programming skills in languages like Go, Rust, Java/Scala.
Knowledge of infrastructure as code languages such as Terraform or AWS CDK.
Ability to develop cloud-based systems and deploy through CI/CD pipelines.
TS clearance required.

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