Anduril Industries is looking to transform U.S. and allied military capabilities with advanced technology, specifically in the area of air defense against Unmanned Aerial System (UAS) threats.
Requirements
- 6+ years of experience in an analytics-focused or data-oriented role (e.g., data engineer, analytics engineer, data scientist, backend software engineer).
- 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.
- 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, etc.) in a cloud setting.
- Experience with DevOps and software deployment: containerization & container orchestration (e.g., Docker, Kubernetes, Helm, etc.), GitOps & CI/CD tooling (e.g., CircleCI, ArgoCD, etc.), observability/monitoring (e.g., DataDog, Grafana, etc.)
Responsibilities
- 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.
- Design and maintain data systems to ingest and transform structured, semistructured, and unstructured data, creating robust and efficient data models that deliver actionable insights.
- 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).
Other
- Ability to obtain and maintain a U.S. Department of Defense (DOD) Secret Clearance or higher.
- 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.
- Ability to work with stakeholders to gather requirements and implement secure, reliable analytics solutions.
- Occasional travel to build, test, and deploy capabilities in real-world scenarios.
