Data Engineer, Infrastructure FinOps

Anduril Industries; Costa Mesa (CA); On-site; USD 146,000 - 194,000; Full time

Job summary

Anduril Industries is seeking a highly skilled Data Engineer to build and scale a next‑generation data platform. You will architect robust systems to unlock insights from complex, large‑scale data and act as a force multiplier across data science, analytics, and software teams.

You will design scalable ETL/ELT pipelines, enforce data quality, and treat data infrastructure as a software product, using CI/CD and best practices.

Qualifications

• 5+ years of experience in a data engineering or similar software engineering role.
• Strong programming proficiency in Python.
• Hands‑on expertise with cloud data platforms (Google BigQuery, Databricks, Palantir Foundry).
• Expert‑level SQL and query optimization on large datasets.
• Solid understanding of data modeling, ETL/ELT, and data warehousing/lakehouse.
• Experience with cloud environments (GCP, AWS, Azure) and containerization (Docker, Kubernetes).
• Eligible to obtain and maintain a US Top Secret security clearance.

Responsibilities

• Design and build scalable ETL/ELT pipelines for petabyte-scale data.
• Develop reusable data frameworks, libraries, and tools with version control and CI/CD.
• Model data and schemas for analytical querying and application use.
• Implement data quality checks, monitoring, and alerts; troubleshoot performance bottlenecks.
• Collaborate with data scientists, analysts, engineers, and business stakeholders.

Skills

Python

SQL

Data modeling

ETL/ELT

BigQuery

Databricks

Palantir Foundry

Cloud platforms

Docker

Kubernetes

US Top Secret clearance

Tools

Google BigQuery

Databricks

Palantir Foundry

Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting‑edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

Anduril’s Infrastructure Engineering organization provides the digital foundations for all aspects of our business. We are
evolving into a more data-driven approach for designing, building, and managing the critical infrastructure that ingests, transforms, and serves massive datasets to power analytics, machine learning, and intelligent applications.

ABOUT THE JOB

We are seeking a highly skilled Data Engineer with a strong software engineering foundation to help build and scale our next‑generation data platform. This is a high-impact role where you will have the autonomy to architect robust systems that unlock critical business insights from complex, large‑scale data

WHAT YOU’LL DO

• Design and Build Scalable Data Pipelines: Architect, develop, and maintain robust and efficient ETL/ELT pipelines to
  process petabyte-scale data from a wide variety of sources using platforms like Google BigQuery , Databricks, and
  Palantir Foundry .
• Apply Software Engineering Principles: Treat data infrastructure as a software product. Develop reusable
  frameworks, libraries, and tools to accelerate data pipeline development and ensure reliability , using best practices like
  version control, code reviews, and CI/CD.
• Architect and Model Data: Design and implement well‑structured, performant data models and schemas in our data
  warehouse and data lakehouse environments, optimized for both analytical querying and application use.
• Ensure Data Quality and Reliability: Implement comprehensive data quality checks, monitoring, and alerting to
  proactively identify and resolve data issues. Troubleshoot and optimize performance bottlenecks in data processing and
  storage layers.
• Be a Force Multiplier: Collaborate closely with data scientists, analysts, software engineers, and business stakeholders

REQUIRED QUALIFICATIONS

• 5+ years of experience in a data engineering or a similar software engineering role, ideally building data products in a fast‑paced environment.
• Strong programming proficiency in Python.
• Hands‑on expertise with at least one major cloud data platform such as Google BigQuery, Databricks, or an enterprise data system like Palantir Foundry.
• Expert‑level SQL and query optimization skills on large‑scale datasets.
• Solid understanding of data modeling concepts, ETL/ELT design patterns, and data warehousing/lakehouse principles.
• Experience with a major cloud environment (GCP, AWS, Azure), including its security ecosystem and containerization technologies (Docker, Kubernetes).
• Must be eligible to obtain and maintain a US Top Secret security clearance.

PREFERRED QUALIFICATIONS

• Hands‑on experience with data orchestration and transformation tools like Spark, PySpark, and dbt.
• Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) for managing data resources.
• Knowledge of real‑time data streaming technologies (e.g., Kafka, Flink, Pub/Sub).
• Experience implementing CI/CD pipelines for data applications (e.g., GitHub Actions, Jenkins).
• Experience with or a strong interest in learning how to develop data services and data products using modern software architecture and API design principles.
• Familiarity with data visualization tools, such as Tableau

US Salary Range $146,000 — $194,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full‑time employees, including:

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits .

Data Privacy

Please visit https://anduril.com/applicant-privacy-notice/ .

By submitting your application, you consent to Anduril Industries using a third‑party service provider to conduct pre‑employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third‑party service provider provides risk‑intelligence services that may include analysis of sanctions and watchlists, adverse media, public‑record information, and other lawful open‑source or commercial data sources. This third‑party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.