Software Engineer, Data Engineering

Anduril Industries

Quick summary

Work type: On-site
Location: Costa Mesa, CA
Salary: $146,000–$194,000 / yr
Posted: today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k

This role $170k

$108k most similar roles pay here $203k

This role pays more than 56% of similar roles. Most pay $126,800–$191,637 — the shaded band above. At the midpoint, this role pays about $170k versus about $159k 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 · Software Engineer, Data Engineering

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As a Software Engineer, Data Engineering on the Maritime Digital Production team at Anduril, you will design and implement high-throughput data systems that connect various stages of maritime vehicle production. Your daily tasks include developing efficient data access layers, managing scalable databases, integrating data from PLM, ERP, and MES systems, and optimizing performance for real-time operations. You’ll collaborate with software engineers, data scientists, and manufacturing technologists to ensure seamless data flow across the enterprise. The role requires proficiency in database management (SQL, NoSQL), data warehousing solutions, big data technologies like Hadoop and Spark, and cloud platforms such as AWS or Azure. Experience in a manufacturing setting and familiarity with real-time data processing tools like Kafka are preferred. This position is integral to building advanced digital shipbuilding systems that drive innovation in maritime vehicle production.

Skills

Python Java Scala SQL NoSQL MongoDB Cassandra Amazon Redshift Google BigQuery Hadoop Spark AWS Azure GCP Kafka Flink Docker Kubernetes CI/CD

What you'll do

Design and implement high-performance data access layers for efficient data retrieval.
Develop scalable databases to support high-speed, large-scale data operations.
Integrate data from PLM, ERP, and MES systems for seamless enterprise-wide flow.
Monitor and optimize performance of data systems to meet real-time demands.
Maintain comprehensive documentation for data architecture and integration processes.

What we're looking for

Proficiency in database management systems (SQL, NoSQL).
Experience with data warehousing solutions (Amazon Redshift, Google BigQuery).
Strong understanding of data architecture principles and best practices.
Proficiency in programming languages for data engineering (Python, Java, Scala).
Experience with big data technologies (Hadoop, Spark).
Familiarity with cloud platforms and services (AWS, Azure, GCP).
Secret security clearance required.

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