Senior Data Engineer — Build Next-Gen Defense Data Platform

Anduril Industries; Costa Mesa (CA); On-site; USD 166,000 - 220,000; Full time

Job summary

Anduril Industries is hiring a Data Engineer to design and build the next generation data platform supporting defense technology applications. You will own data pipelines, partner with operations and engineering, and enable data products used across the org.

We value Python, Spark, SQL, and Palantir Foundry experience, plus cloud security awareness. You will lead hands-on work while coaching teammates on complex data transformations.

Qualifications

• 3+ years in data engineering building product-ready pipelines.
• Strong Python and data programming fundamentals.
• Experience with Spark, PySpark, SQL and dbt.
• Experience with Palantir Foundry or similar platforms.
• Cloud exposure (AWS/Azure/GCP) and data security aware.
• Knowledge of data visualization tools like Tableau.
• Eager to own and deliver data products with user impact.

Responsibilities

• Lead design and roadmap for the data platform.
• Collaborate with operations, product, and engineering to implement data infrastructure.
• Own ingest and egress pipelines stitching sources into data products.
• Leverage Palantir Foundry for data-driven applications and analysis.
• Use SQLMesh for transformations and Flyte for orchestration.
• Support querying with Athena on the data lake and ensure security.

Skills

3+ years data engineering

Python

Spark / PySpark

SQL

dbt

Palantir Foundry

AWS / Azure / GCP

Tableau

Data pipelines

Security minded

Tools

Palantir Foundry

Flyte

Athena

Apache Iceberg

Job description

Anduril Industries is hiring a Data Engineer to design and build the next generation data platform supporting defense technology applications. You will own data pipelines, partner with operations and engineering, and enable data products used across the org.

We value Python, Spark, SQL, and Palantir Foundry experience, plus cloud security awareness. You will lead hands-on work while coaching teammates on complex data transformations.