Data Engineer, Infrastructure FinOps

Anduril Industries

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k
This role $170k
$121k most similar roles pay here $221k

This role pays more than 55% of similar roles. Most pay $132,162–$211,200 — the shaded band above. At the midpoint, this role pays about $170k 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 Engineer, Infrastructure FinOps

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As a Data Engineer at Anduril’s Infrastructure Engineering team, you will play a pivotal role in building and scaling the company's next-generation data platform. Your responsibilities include designing and implementing robust ETL/ELT pipelines using platforms like Google BigQuery, Databricks, and Palantir Foundry to process petabyte-scale datasets. You will also develop reusable frameworks and tools, apply software engineering principles such as version control and CI/CD, and ensure data quality through comprehensive monitoring and alerting systems. Additionally, you will collaborate closely with cross-functional teams to deliver high-impact solutions that drive business insights. The ideal candidate has 5+ years of experience in data engineering or a similar role, proficiency in Python, expertise with cloud data platforms, and strong SQL skills for large-scale datasets. Experience with tools like Spark, dbt, Terraform, and real-time streaming technologies is preferred.

Skills

Python Google BigQuery Databricks Palantir Foundry SQL CI/CD GCP Kubernetes Terraform Spark dbt GitHub Actions Tableau

What you'll do

  • Design and build scalable ETL/ELT pipelines for petabyte-scale data.
  • Develop robust frameworks and tools to ensure reliability in data infrastructure.
  • Architect and model data for analytical querying and application use efficiently.
  • Implement comprehensive data quality checks and monitoring systems proactively.
  • Troubleshoot and optimize performance bottlenecks in data processing layers.

What we're looking for

  • 5+ years of experience in data engineering or a similar software engineering role.
  • Strong programming proficiency in Python and expert-level SQL skills.
  • Hands-on expertise with major cloud data platforms like Google BigQuery, Databricks, or Palantir Foundry.
  • Solid understanding of data modeling, ETL/ELT design patterns, and data warehousing principles.
  • Experience with a major cloud environment (GCP, AWS, Azure) including security and containerization technologies.
  • Eligibility to obtain and maintain a US Top Secret security clearance.

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