Software Engineer, Data

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM 

We build 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 (AD) 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 Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.

ABOUT THE ROLE

We are looking for a well-rounded Senior 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.

WHAT YOU'LL DO

• Help lead the development and maintenance of data systems architecture that enable high quality, low latency data ingestion across many different 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 building both deployment- 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.
• Help empower users to leverage the aforementioned data architecture to self-serve through enablement & knowledge-transfer, as well as improving the developer/end-user experience.

REQUIRED QUALIFICATIONS

• 6+ years of experience in an analytics-focused or data-oriented role (e.g., data engineer, analytics engineer, data scientist, backend software engineer).
• Exceptional general problem-solving and critical-thinking skills, bringing to bear technical solutions to ambiguous and dynamic data problems.
• Proficiency designing scalable and adaptable logical and physical data models that facilitate both future product evolution and analytical requirements
• Strong skills in performing data-driven root cause analysis on complex systems.
• Excellent written and verbal communication skills, especially when communicating with a technical audience; an affection for documentation.
• Ability to drive consensus across internal and external stakeholders, with demonstrated experience leading through influence.
• Comfortable navigating a polyglot ecosystem and a proven ability to quickly understand established code bases and operate at different levels of abstraction.
• Procedural fluency in writing, debugging, profiling, testing, and maintaining performant Python and SQL code.
• Experience writing another language (e.g., JavaScript/TypeScript, Go, Java, Scala, Haskell, OCaml, Julia, etc.).
• Proficiency in building end-to-end, scalable data solutions (including the steps for beyond implementation such as enablement, support, integrations, et