Analytics Engineer, Test & Evaluation

About the Role We are seeking an Analytics Engineer to join Anduril's Test & Evaluation Data Operations. You will own end-to-end data workstreams—from ingestion to dashboards—that turn telemetry, test records, and incident data into consistent, automated views of system performance across the fleet. You will help build the data infrastructure, models, and analytics products used by flight test engineers, managers, and leaders to monitor and improve performance.

What You'll Do

• Own data workstreams end-to-end—from ingestion of source data (JIRA, telemetry, Airtable, Odoo, etc.) through Foundry transforms and ontology modeling to dashboards and tools that consume them
• Build and maintain Foundry pipelines (PySpark transforms), data models, and data quality checks across the data stack
• Build internal-facing dashboards and analytics products (Streamlit, Workshop) serving flight test engineers, middle management, and leadership
• Write small production services (Python or Go) when integrations demand it, using webhooks, bridges, daemons, and partner with the broader SWE organization when the work belongs there
• Partner directly with product-line T&E leads, software engineering teams, and infrastructure teams to align on data contracts, ingestion patterns, and shared priorities
• Write clear design docs and RFCs that align stakeholders around technical decisions before code ships

What We're Looking For

• 3+ years of data engineering, platform engineering, or equivalent experience owning data systems end-to-end
• Strong Python and SQL; experience with DataFrame-based transforms (Pandas, PySpark, Polars, or similar)
• Experience owning a data pipeline or integration end-to-end—from ingestion through to a downstream consumer (dashboard, service, or model)
• Hands-on experience integrating with REST APIs, webhooks, or third-party data sources
• Experience building internal-facing dashboards or analytics products (Streamlit, Plotly Dash, Workshop, Tableau, Looker, or similar) & owning the full stack from data to UI
• Comfortable working on a small team (1-3 people) where scope is fluid and you're often the only person on your piece of work
• Think like a data product owner & when building a pipeline or model, you can independently reason about what questions it needs to answer downstream, not just what data to move
• Write clearly & design docs, decision memos, or technical RFCs that align stakeholders, not just documentation after the fact
• Actively use AI coding tools (Claude Code, Cursor, Copilot, or similar) as part of your daily workflow & integrated into how you build, debug, and write, not occasional help
• U.S. Persons status is required as this position needs to access export-controlled data

Nice to Have

• Experience with Palantir Foundry & transforms, ontology, Workshop, Streamlit
• Experience in robotics, aerospace, defense, or hardware-adjacent data environments
• Comfortable reading or contributing to git repos in languages other than Python (e.g. Go, Nix, Terraform, etc.)
• Experience with ontology modeling or data modeling for heterogeneous sources
• Must be able to obtain and hold a U.S. Top Secret security clearance

Compensation & Benefits

• Salary range: $146,000 - $194,000 USD per year
• Highly competitive equity grants and comprehensive benefits package
• Anduril benefits: health, recovery, and other support
• Recognizes top-tier benefits and overall compensation within Anduril's offering