Analytics Engineer (Hardware Test)

Anduril Industries; Costa Mesa (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Full Family Health Coverage

16 Weeks Paid Parental Leave for All

Family Planning & Support

Incentivized Time Off

Mental Health Resources

Financial Planning

Unlimited Provisions

Professional Development

Job summary

Anduril Industries is seeking an experienced data engineer to own data pipelines end‑to‑end, from ingestion through Foundry transforms to dashboards used by flight test engineers and leadership.

You will build internal analytics products (Streamlit/Workshop), collaborate with product and infra teams, and drive data contracts and models in a fast‑moving, cross‑functional environment. Strong Python/SQL and data modeling skills are required.

Qualifications

• 3+ years of data engineering or platform engineering owning data systems end‑to‑end.
• Experience owning a data pipeline from ingestion to downstream consumption.
• Experience building internal dashboards or analytics products end‑to‑end.
• Hands‑on with REST APIs, webhooks, or third‑party data sources.
• Ability to reason about downstream questions when building pipelines.
• Experience with Palantir Foundry and related transforms/ontology/workshop.

Responsibilities

• Own data workstreams end‑to‑end from ingestion to dashboards and tools.
• Build and maintain Foundry pipelines (PySpark transforms) and data models.
• Create internal dashboards and analytics products for engineers and management.
• Write design docs and RFCs to align stakeholders before code ships.
• Collaborate with product, software, and infra teams on data contracts.

Skills

Python

SQL

PySpark

Data modeling

Foundry

Streamlit

REST APIs

Go

Documentation

AI tools

Data quality

Data pipelines

Tools

Palantir Foundry

Plotly Dash

Workshop

Streamlit

Tableau

Looker

Git

Job description

Responsibilities

• 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

Benefits

• Full Family Health Coverage
• 16 Weeks Paid Parental Leave for All Caregivers
• Family Planning & Support
• Incentivized Time Off
• Mental Health Resources
• Financial Planning
• Unlimited Provisions
• Professional Development

Qualifications

• U.S. Persons status is required as this position needs to access export‑controlled data
• Experience owning a data pipeline or integration end‑to‑end & from ingestion through to a downstream consumer (dashboard, service, or model)
• 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
• 3+ years of data engineering, platform engineering, or equivalent experience owning data systems end‑to‑end
• 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
• Experience building internal‑facing dashboards or analytics products (Streamlit, Plotly Dash, Workshop, Tableau, Looker, or similar) & owning the full stack from data to UI
• Hands‑on experience integrating with REST APIs, webhooks, or third‑party data sources
• 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
• Strong Python and SQL; experience with DataFrame‑based transforms (Pandas, PySpark, Polars, or similar)
• Write clearly & design docs, decision memos, or technical RFCs that align stakeholders, not just documentation after the fact
• Experience with Palantir Foundry & transforms, ontology, Workshop, Streamlit
• Comfortable reading or contributing to git repos in languages other than Python (e.g. Go, Nix, Terraform, etc.)
• Experience in robotics, aerospace, defense, or hardware‑adjacent data environments
• Must be able to obtain and hold a U.S. Top Secret security clearance
• Experience with ontology modeling or data modeling for heterogeneous sources