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Anduril is a defense technology company, bringing Silicon Valley talent and funding to the defense sector. We provide warfighters with advanced technologies and assist them in executing their mission, wherever that may be and within rapidly evolving operational environments. We've assembled a diverse team of experts in artificial intelligence, computer vision, sensor fusion, optics, and robotics to create software and hardware solutions that radically evolve the capabilities of the United States and our Allies. If you are passionate about solving problems that have real impact, come join Anduril and build the future of defense.

The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of UAS threats. Working across product, engineering, business development, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems in challenging operational environments worldwide.

We are looking for a well-rounded Data/Analytics Engineer to support our Air Defense team. In this role, you will design and maintain data systems to ingest and transform structured, semistructured, and unstructured data, creating robust and efficient data models that deliver actionable insights. You will collaborate with stakeholders to gather requirements and implement secure, reliable analytics solutions, focusing on supporting a variety of data applications.
You will work with engineering and field operations teams to better understand how our family of systems and capabilities performs in production (both in and out of classified environments). Additionally, you will support operational teams by building out data products to support operational workflows. Ensuring data quality and performing root cause analysis on complex systems will be key, as will deploying mission-critical analytics solutions with occasional travel to build, test, and deploy capabilities in real-world scenarios.

• Assist in developing and maintaining data systems for high quality, low latency data ingestion from various source systems and transformation for downstream data products and operational workflows.
• Collaborate with stakeholders to collect requirements and write code for secure, timely, accurate, trusted, and extensible data models.
• Become a trusted partner to AD's leadership by creating reusable entities that generalize how our division operates and build product, operations, and business-related workflows, dashboards, and metrics that drive better and faster decision-making.
• Develop and deliver analytics solutions for evolving problems in network-isolated and classified environments.
• Empower users to leverage the aforementioned data architecture to self-serve through enablement & knowledge-transfer, as well as improving the developer/end-user experience.

• 3+ years of experience in an analytics-focused or data-oriented role (e.g., data engineer, analytics engineer, data scientist, data analyst).
• Exceptional general problem-solving and critical-thinking skills, bringing to bear technical solutions to ambiguous and dynamic data problems.
• Excellent written and verbal communication skills, especially when communicating with a technical audience; an affection for documentation.
• Ability to work with multiple programming languages and frameworks within our technology ecosystem.
• Participation in developing data solutions in a cloud environment.
• Current US Person status (U.S. citizen or permanent resident) with the ability to obtain and maintain a U.S. Department of Defense (DOD) Secret Clearance or higher.

• Exposure to systems programming languages such as Python, C/C++, Zig, Rust, etc.
• Basic knowledge of analytical workloads in on-premises or resource-constrained environments.
• Introduction to handling data in air-gapped and security-hardened networks.
• Exposure to specialized data formats relevant to robotics (e.g. MCAP, HDF5, etc.).
• Hands-on practice with modern data tools such as dbt, Palantir Foundry, Trino/Presto, Apache Spark, Apache Kafka, Apache Flink, and/or in-memory databases (e.g., DuckDB, Polars).
• Introductory knowledge of the Nix ecosystem for dependency management and system configuration.
• Basic Linux skills.
• Interest in the challenges of developing and deploying autonomous systems in defense applications.
• Curiosity about the intersection of analytics and hardware systems, motivated by Anduril's mission.
• Prior exposure and significant interest in defense, aerospace, or intelligence domains.