Analytics Engineer, Anduril Industries

• 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

Desirable

• The T&E Data Operations team builds the data infrastructure and analytical tools that power Anduril's Test & Evaluation (T&E) function & turning telemetry, test records, and incident data into consistent, automated views of how our systems are performing across the fleet
• The work spans the full data pipeline: how data is created on the platform, how it's collected and egressed to the cloud, how it's modeled, and how it reaches the engineers, managers, and leaders who act on it
• We're a new team within the T&E organization, and we're looking for someone willing to get their hands dirty and make high-impact, foundational changes to the way we collect, analyze, and leverage our data
• You'll take defined workstreams end-to-end & ingestion pipelines, data models, dashboards, and the small services that tie them together & so the team can run more of them in parallel
• You'll partner closely with product-line T&E teams, software and infra teams, and corporate analytics to ship real, production-grade data products that replace and enhance the tools we rely on today
• Executional autonomy is a foundational pillar of this team. You'll be expected to drive the design, the partnerships, and the delivery
• We're looking to encourage you to be a collaborator that feels comfortable proposing alternative solutions and even helping give shape to how the team executes over time
• Own data workstreams end-to-end & from ingestion of source data (JIRA, telemetry, Airtable, Odoo, etc.) through Foundry transforms and ontology modeling to the dashboards and tools that consume them
• Build and maintain Foundry pipelines (PySpark transforms), data models, and data quality checks across
• Build internal-facing dashboards and analytics products (Streamlit, Workshop) that serve flight test engineers, middle management, and leadership
• Write small production services (Python or Go) when integrations demand it & webhooks, bridges, daemons & and partner with the broader SWE organization when the work belongs with them
• 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