Software Engineer II - Data Engineering

Responsibilities

• Important information:
• FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY:
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. p

Additional Information

ABOUT ROCKET LAB Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more - all with the goal of opening access to space. The rockets and satellites we build and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations. Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope. NEUTRON Rocket Lab's Neutron team is responsible for bringing our new large rocket, Neutron, and its launch and test sites to life. From designing and testing Neutron's structures and components to firing up its new Archimedes engines, to setting up Neutron's launch pads and test sites across the United States, joining the Neutron team is your opportunity to help launch a new large rocket for the very first time. SOFTWARE ENGINEER II - DATA ENGINEERING As a Software Engineer II - Data Engineering based at Rocket Lab's site in Auckland, New Zealand, you will support the development and deployment of core data services that power engineering, manufacturing, operations, and R&D. You will work on backend services, APIs, data pipelines, and data visualization tools that enable teams across the company to extract value from their data. To be successful in this role, you must be proactive, collaborative, technically strong, and motivated by solving complex engineering challenges. Join a driven team of pioneers relentlessly tackling challenging projects, delivering on the impossible, and shaping the future of space. WHAT YOU'LL GET TO DO: Develop APIs, services, and tools that support data indexing, retrieval, visualization, and automation across the company Build and maintain data pipelines for engineering, reporting, and operational use Develop new software and tooling that support data management and data exploitation Maintain and improve existing software products with strong testing and documentation Participate in code reviews, architecture design, requirements development, and backlog refinement Keep work tickets current and communicate progress clearly to stakeholders Demonstrate software to internal teams and coordinate cross‑functionally Deploy and support operational software in production environments Train and support internal users of data engineering tools and services YOU'LL BRING THESE QUALIFICATIONS: Diploma, certificate, or degree in Software Engineering, Computer Science, Electrical Engineering, or equivalent experience Minimum of five years of experience in a software engineering discipline Strong Python development experience Experience with Git, CI/CD, and containerization Exposure to modern data platforms including data warehouses, datalakes, and lakehouse architectures Experience with data analysis tools such as Pandas, NumPy, ETL pipelines, and SQL Experience developing REST APIs and backend services Familiarity with Jira, Redmine, or similar issue‑tracking tools Strong communication skills and the ability to work effectively across teams and time zones Ability to assess risk, plan work, prioritize effectively, and take ownership of deliverables THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Experience with Kubernetes and deploying services at scale Experience with data visualization tools or frameworks Knowledge of data science or numerical analysis techniques Experience with agile development practices Experience in web application development Experience in user interface development

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