Senior Product Engineer, Data

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

The Analytics team models Anduril’s internal data into reusable entities that describe how the company actually operates, in effect a digital twin of our operations. Those entities power the workflows, metrics and applications that help Anduril make better decisions faster.

As a Product Engineer on the Data team, you’ll build internal products on top of Anduril’s unified data model. These are tools that people across Finance, Supply Chain, Manufacturing, People and Sustainment use to run their part of the business, not just monitor it.

Responsibilities

• Own products from 0 to 1. Find a high-leverage problem, scope it, prototype it, get it in front of users and iterate until it’s something people depend on.
• Treat operators as your customers. Spend time with the people doing the work, learn their domain in depth, and turn what they actually need into software.
• Build across the stack. Work across the data model, backend logic and user interface. Use whatever the problem needs: a frontend, an optimization model, a forecasting engine, an LLM-powered workflow or something we haven’t thought of yet.
• Build on the ontology and extend it. Use Anduril’s unified data model as the base for your products, and push changes back into the model when a product reveals a gap.
• Ship fast and measure impact. Favor small releases and tight feedback loops. Success means the business runs differently, not just that the feature went live.
• Make product calls. Decide what’s worth building, what “good enough” looks like, what to cut and when to kill an idea.
• Raise the bar for the team. Show the rest of Analytics what’s possible when data models become products.

Stack

• Databricks: our central foundation for data applications, visualization and large-scale analysis
• dbt: SQL transformations with version control, testing and CI/CD
• Dagster: asset-based, event-driven orchestration

Requirements

• 4+ years building software or data products as a Product Engineer, Software Engineer, Data/Analytics Engineer, or technical consultant with a strong engineering background
• A track record of shipping products from 0 to 1 that people actually used, whether at work, at a startup or on your own
• Strong product sense: you can tell a real problem from a stated one, prioritize what to build first, and make trade-offs between scope, speed and quality
• Strong data modeling fundamentals: you can design entities and relationships that generalize, and explain the trade-offs
• Solid programming skills in Python and SQL, and comfort picking up new languages and frameworks when a product calls for it
• Comfort working directly with users and non-technical stakeholders, and communicating clearly with them
• Experience working with sensitive data and following security protocols
• Eligible to obtain and maintain an active U.S. Secret security clearance