Senior Data Platform Engineer, Air Dominance & Strike

Anduril Industries

Quick summary

Work type
On-site
Location
Costa Mesa, CA
Salary
$146,000–$194,000 / yr
Posted
today

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Competitive pay

How this pay compares to similar roles

Similar $195k
This role $170k
$137k most similar roles pay here $231k

This role pays less than 62% of similar roles. Most pay $167,500–$222,000 — the shaded band above. At the midpoint, this role pays about $170k versus about $195k 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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At a glance

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

As a Senior Data Platform Engineer at Anduril’s Air Dominance and Strike Division, you will design and build a scalable data infrastructure that supports analytics and data applications across various stages of product development. You’ll work closely with teams to understand their needs and remove operational friction by leveraging cloud infrastructure, DevOps practices, and modern data systems such as Apache Iceberg, Trino/Presto, dbt, and Kubernetes. Key responsibilities include architecting robust ETL pipelines in Python, implementing agentic workflows with validation controls, and ensuring high availability through SRE principles. You must have 5+ years of experience in data platform engineering, cloud infrastructure management, and DevOps roles, along with hands-on expertise in Terraform, Docker, Kubernetes, and CI/CD tools like ArgoCD and CircleCI. This role requires a DOD Secret Clearance and the ability to work in classified environments.

What you'll do

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

What we're looking for

  • 5+ years of 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, and Kafka/Spark
  • Proficiency in Infrastructure-as-Code (IaC) using Terraform for complex cloud environments
  • Strong skills in DevOps practices including Docker, Kubernetes, GitOps, CI/CD, and observability tools
  • Procedural fluency in Python and SQL with experience in data pipeline orchestration tooling
  • Proof of delivering scalable outcomes from ambiguous projects end-to-end

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