Staff Analytics Engineer
Anduril IndustriesCosta Mesa, California, United StatesPosted 13 March 2026
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
The Analytics team is responsible for modeling our internal data into reusable entities that generalize how Anduril operates. From those entities we build workflows, dashboards, and metrics that drive better and faster decision-making. You will work with stakeholders from across the company to understand how Anduril functions and model our data to create the digital twin of our operations. The Analytics space is engrained in our team’s DNA, as we regularly discuss shifts in the industry and keep up with the top relevant blogs. If this culture and Anduril’s mission speaks to you, you’ve found the right place.
ABOUT THE JOB
We're looking for people who love delivering value with data - defining ontologies and writing the code that puts them into action. You prioritize velocity and are interested in pushing the frontiers of what analytics can do within an organization - think data applications rather than just dashboards. As a Staff Engineer, you should be a player-coach; your role is to set an example for your team and define what great looks like while also being their advocate mentor. Your leadership should take a high performing team on towards the next level.
WHAT YOU'LL DO
There is no such thing as a pure manager at Anduril - you'll demonstrate your ability to be both an IC and a people manager.
Become the Trusted Partner for end to end date flows - your job doesn't end at the boundary of the data warehouse but instead in the business outcome.
Become an expert in the domain areas of your direct reports and provide them guidance, mentorship, and support.
Lead the building of Anduril’s ontology for a specific domain such as Finance, Supply Chain, Manufacturing, People, and Sustainment
Collaborate with stakeholders, collecting requirements, and writing the code that results in Secure, Timely, Accurate, Trusted, and Extensible Data Models
Seek out problems that can be solved with data and proactively work with the organization to make it a reality
Become a trusted resource for Anduril leadership in helping them run their organizations more effectively
Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale.
We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines.
For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure.
We've implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries.
We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster.
REQUIRED QUALIFICATIONS
6+ years of experience in the analytics ecosystem - Analytics Engineer, Data Engineer or Analyst / Consultant with a strong engineering background
2+ years in a Lead role, demonstrating autonomy and process ownership
Experience managing a team in a dynamic environment wi ... (truncated, view full listing at source)
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