> Markdown version of [/jobs/ext/2058786-staff-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/2058786-staff-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Analytics Engineer - **Company:** Anduril Industries - **Location:** Costa Mesa, CA, United States - **Experience:** Experienced - **Salary:** $191,000.0 - $253,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Business Analytics Applications, Data Analysis, Apache HTTP Server, Big Data, Continuous Integration, Data Transformation, Data Warehousing, SQL Databases, Tableau (Software), Data Lakes, Kubernetes, Data Management, Looker Analytics, Software Version Control, Data Pipelines - **Published:** August 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9089593/staff-analytics-engineer ## About the Role * 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 with shifting priorities. * Track record of leading cross-functional technical initiatives with measurable business impact * Experience working with sensitive data and maintaining security protocols * Experience with data stack tools: dbt, Redshift, Looker/Tableau, Palantir Foundry * Ability to build world-class data models in a fast, start-up environment * Demonstrated aptitude for strategic partnerships and communication with non-technical Stakeholders * Eligible to obtain and maintain an active U.S. Secret security clearance ## Description 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., To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: * No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)