Staff Data Engineer

Anduril Industries

Quick summary

Work type: On-site
Location: Costa Mesa, CA
Salary: $191,000–$253,000 / yr
Posted: today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k

This role $222k

$128k most similar roles pay here $266k

This role pays more than 82% of similar roles. Most pay $147,062–$214,712 — the shaded band above. At the midpoint, this role pays about $222k versus about $181k 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 · Staff Data Engineer

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As a Staff Data Engineer on the Analytics Team, you will lead the design and roadmap for our data platform while partnering with operations, product, and engineering teams to advocate best practices and build supporting systems. Your responsibilities include owning ingest and egress frameworks for data pipelines that integrate various sources to produce valuable business insights. You will operate in a player-coach capacity, mentoring team members while remaining hands-on as a contributor. Ideal candidates have 6+ years of experience in data engineering, with expertise in Python, Spark, PySpark, SQL, dbt, and Enterprise Data Systems like Palantir Foundry. Familiarity with AWS, Azure, or GCP security ecosystems, containerization, and data visualization tools such as Tableau is essential. This role involves addressing complex data transformation challenges while adhering to best security practices in a fast-paced environment focused on next-generation defense technology.

Skills

Python Spark PySpark SQL dbt Palantir Foundry AWS Azure GCP Tableau CI/CD Kubernetes Docker Terraform Git Jenkins PostgreSQL Maven Gradle REST APIs JSON

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.
Mentor team members while remaining hands-on in project execution.
Drive operational execution and define what great performance looks like.

What we're looking for

6+ years of experience in data engineering, preferably in a fast-paced environment.
2+ years of leadership experience with autonomy and process ownership.
Proficiency in Python or another programming language.
Experience with Spark, PySpark, SQL, and dbt.
Knowledge of Enterprise Data Systems like Palantir Foundry.
Familiarity with AWS, Azure, GCP security ecosystem, containerization, and tooling.

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