Data Engineer, Infrastructure FinOps

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

We are seeking a highly skilled Data Engineer with a strong software engineering foundation to help build and scale our next-generation data platform.

Responsibilities

• Design and Build Scalable Data Pipelines: Architect, develop, and maintain robust and efficient ETL/ELT pipelines to process petabyte-scale data from various sources using platforms like Google BigQuery, Databricks, and Palantir Foundry.
• Apply Software Engineering Principles: Treat data infrastructure as a software product and develop reusable frameworks, libraries, and tools to accelerate data pipeline development and ensure reliability.
• Architect and Model Data: Design and implement well-structured, performant data models and schemas in our data warehouse and data lakehouse environments.
• Ensure Data Quality and Reliability: Implement comprehensive data quality checks, monitoring, and alerting to proactively identify and resolve data issues.
• Be a Force Multiplier: Collaborate closely with data scientists, analysts, software engineers, and business stakeholders.

Required Qualifications

• 5+ years of experience in a data engineering or similar software engineering role.
• Strong programming proficiency in Python.
• Hands-on expertise with at least one major cloud data platform.
• Expert-level SQL and query optimization skills on large-scale datasets.
• Solid understanding of data modeling concepts, ETL/ELT design patterns, and data warehousing/lakehouse principles.
• Experience with a major cloud environment.
• Must be eligible to obtain and maintain a US Top Secret security clearance.

Preferred Qualifications

• Hands-on experience with data orchestration and transformation tools.
• Experience with Infrastructure as Code.
• Knowledge of real-time data streaming technologies.
• Experience implementing CI/CD pipelines for data applications.
• Experience with or a strong interest in learning how to develop data services and data products.
• Familiarity with data visualization tools.

Benefits

• Healthcare Benefits
• Income Protection
• Generous time off
• Family Planning & Parenting Support
• Mental Health Resources
• Professional Development
• Commuter Benefits
• Relocation Assistance
• Retirement Savings Plan