Senior Data Engineer

Anduril Industries

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Costa Mesa, CA
Salary
$183,000–$243,000 / yr
Posted
113 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $164k
This role $213k
$105k $258k
below market most similar roles pay here above market

This role pays more than 78% of similar roles. Most pay $126,800–$201,437 — the blue band above. At the midpoint, this role pays about $213k versus about $164k 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 901 open roles on FindRole.

Listed pay typically runs $166,000–$220,000 across 858 roles with salary data.

Most-posted roles

View all roles at Anduril Industries

At a glance

TL;DR · Senior Data Engineer

The Senior Data Engineer joins the Analytics Team to design, build, and implement data pipelines and models for next-generation defense technology. In this role, you will lead the data platform roadmap, own ingest and egress frameworks, and partner with operations and product teams to build supporting infrastructure. You will manage data products within Palantir Foundry, utilizing SQLMesh for transformations, Athena for querying, and Flyte for orchestration. The role requires proficiency in Python, Spark, PySpark, SQL, and dbt, along with experience in AWS, Azure, or GCP security ecosystems and containerization. You will solve complex data transformation problems by stitching together various sources to produce valuable data products, ensuring all engineering follows security best practices while providing data self-service at scale for the organization.

What does a Data Engineer earn in California?

Median $187700 from 41 postings across 21 companies.

See salary data

What you'll do

  • Lead the design and roadmap for the company's data platform.
  • Build and implement data pipelines and models to support next-generation technology.
  • Own the ingest and egress frameworks for pipelines that stitch together various data sources.
  • Manage Palantir Foundry to provide data self-service and large-scale analysis for the organization.
  • Execute data transformations using SQLMesh with a focus on version control and CI/CD.
  • Orchestrate data workflows using Flyte and manage data lakes with Athena and Apache Iceberg.
  • Operate in a player-coach capacity by leading team members while remaining a hands-on contributor.
  • Debug complex data transformation pipelines and data models to ensure business impact.

What we're looking for

  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities.
  • 3+ years of experience in a data engineering role building products.
  • Good foundations in Python or another programming language.
  • Experience with Spark, PySpark, SQL, and dbt.
  • Experience with Enterprise Data Systems like Palantir Foundry.
  • Experience with AWS, Azure, or GCP security ecosystem, containerization, and associated tooling.
  • Knowledge of data and visualization tools, such as Tableau.
  • Experience with or interest in learning how to develop data services and data products.

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