Senior Data Engineer

Anduril Industries

Quick summary

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

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k

This role $193k

$121k most similar roles pay here $231k

This role pays more than 65% of similar roles. Most pay $135,000–$211,200 — the shaded band above. At the midpoint, this role pays about $193k versus about $173k 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 Data Engineer

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As a Senior Data Engineer on the Analytics Team at Anduril, you will collaborate with stakeholders to design and implement data pipelines and models that support the company’s next-generation defense technology. Your responsibilities include leading the data platform roadmap, partnering with operations, product, and engineering teams to build systems and infrastructure for various data needs, and owning frameworks for data ingest and egress to produce valuable data products driving business impact. Ideal candidates have 5+ years of experience in a fast-paced environment, proficiency in Python or another language, and expertise with tools like Spark, PySpark, SQL, dbt, and Palantir Foundry. You should also be familiar with cloud security ecosystems and visualization tools such as Tableau, and possess a strong understanding of data engineering best practices and security principles.

Skills

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

What you'll do

Lead the design and roadmap for the company's data platform.
Advocate best practices and build supporting systems for various data needs.
Own the ingest and egress frameworks for complex data pipelines.
Stitch together diverse data sources to produce valuable business insights.
Drive operational execution by collaborating with operations, product, and engineering teams.

What we're looking for

5+ years of experience in data engineering, preferably in a fast-paced environment.
Strong foundation in Python or another programming language and proficiency with Spark, PySpark, SQL, and dbt.
Experience with Enterprise Data Systems like Palantir Foundry and cloud security ecosystems (AWS, Azure, GCP).
Knowledge of data visualization tools such as Tableau and commitment to engineering with best security practices.
Proven ability to lead the design and roadmap for a data platform and drive complex data transformation projects.

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