Senior Software Engineer, Data Platform

Anduril Industries

Quick summary

Work type
On-site
Location
Costa Mesa, CA
Salary
$166,000–$220,000 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $193k
$106k most similar roles pay here $235k

This role pays more than 66% of similar roles. Most pay $142,400–$217,725 — the shaded band above. At the midpoint, this role pays about $193k versus about $180k 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.

Most-posted roles

View all roles at Anduril Industries

At a glance

TL;DR · Senior Software Engineer, Data Platform

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As a Senior Software Engineer on Anduril’s Analytics Team, you will lead the design and implementation of data pipelines and models to support the company's next-generation defense technology. You’ll collaborate with operations, product, and engineering teams to advocate for best practices and build systems that address diverse data needs. Your responsibilities include owning ingest and egress frameworks for complex data pipelines, ensuring they integrate various sources to produce valuable business insights. Ideal candidates have 5+ years of experience in data engineering, proficiency in Python or a similar language, and expertise with tools like Spark, PySpark, SQL, dbt, and Palantir Foundry. Experience with cloud security ecosystems, containerization, and data visualization tools is also crucial. This role requires a deep understanding of security best practices and the ability to empathize with users while driving impactful projects forward in a fast-paced environment.

Skills

Python Spark PySpark SQL dbt Palantir Foundry AWS Azure GCP Tableau CI/CD Kubernetes Docker

What you'll do

  • Lead the design and roadmap for the data platform.
  • Advocate best practices and build supporting systems for various data needs.
  • Own ingest and egress frameworks for complex data pipelines.
  • Develop valuable data products that drive business decisions.
  • Debug complex data transformation pipelines and models independently.

What we're looking for

  • 5+ years of experience in data engineering, preferably in a fast-paced environment.
  • Strong background in Python or another programming language and proficiency with Spark, PySpark, SQL, and dbt.
  • Experience with Enterprise Data Systems like Palantir Foundry and knowledge of AWS, Azure, or GCP security ecosystem.
  • Familiarity with containerization and associated tooling, as well as data & visualization tools such as Tableau.
  • Ability to drive the direction of ambiguous projects and take ownership of complex data transformation pipelines.

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