Data Platform Engineer, Air Dominance & Strike

Anduril Industries

Quick summary

Work type
On-site
Location
Costa Mesa, CA
Salary
$113,000–$149,000 / yr
Posted
today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k
This role $131k
$101k most similar roles pay here $221k

This role pays less than 78% of similar roles. Most pay $134,750–$209,500 — the shaded band above. At the midpoint, this role pays about $131k versus about $172k 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 1882 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1696 roles with salary data.

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View all roles at Anduril Industries

At a glance

TL;DR · Data Platform Engineer, Air Dominance & Strike

As a Senior Data Platform Engineer at Anduril’s Air Dominance & Strike Division, you will design and maintain a scalable data infrastructure that supports analytics and data applications across various stages of product development. You will leverage Infrastructure-as-Code (Terraform), Docker, Kubernetes, and CI/CD practices to build robust ETL pipelines in Python using modern DAG-based orchestrators. Additionally, you will ensure the platform’s high availability and performance by applying SRE principles, establishing SLOs, and automating operational tasks. This role requires hands-on experience with data lakehouse technologies like Apache Iceberg, query engines such as Trino/Presto, and real-time stream processing platforms like Apache Kafka and Spark. You will work closely with platform users to understand their needs and remove friction in workflows, ensuring the data capabilities are a force multiplier for the entire division.

What you'll do

  • Lead design and development of a scalable data platform for analytics and applications.
  • Architect cloud infrastructure using Terraform, Docker, Kubernetes, and CI/CD practices.
  • Build robust ETL pipelines with Python and modern DAG-based orchestrators.
  • Implement agentic data processing workflows with validation and human-in-the-loop controls.
  • Apply SRE principles to ensure high availability, performance, and observability of systems.

What we're looking for

  • 2+ years experience in data platform engineering, cloud infrastructure, DevOps, or SRE roles
  • Hands-on experience with modern data stack components like Apache Iceberg, Trino/Presto, dbt, Kafka, Spark
  • Proficiency in Infrastructure-as-Code (Terraform) for managing complex cloud environments
  • Strong skills in DevOps practices including containerization, CI/CD tooling, and observability platforms
  • Procedural fluency in Python and SQL with experience in data pipeline orchestration tools
  • Department of Defense Secret Clearance or higher, comfort operating in classified network environments
  • Proof of delivery for a project from ambiguity to scalable outcome

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