Senior Software Engineer I - Data Engineering

SENIOR SOFTWARE ENGINEER I - DATA ENGINEERING

At Rocket Lab, operational data drives everything from production acceptance to mission success. The Data Engineering team builds the foundational infrastructure, platforms, and tools that make this possible, providing long-term storage, data management, discovery, and access for data across all verticals. Our platf...

We're seeking a Senior Software Engineer to help us build and scale the data infrastructure that powers Rocket Lab's operations.

Design, build, and deploy tools and services that power operational data access across Rocket Lab
Collaborate with engineering teams across multiple verticals and time zones to understand data requirements and deliver scalable infrastructure solutions
Develop and maintain apps, services, and platforms that can scale with the business’ needs.
Build automation and tools that enable engineers to discover, access, and work with operational data efficiently
Own services end-to-end—from architecture and development through deployment and production support

YOU'LL BRING THESE QUALIFICATIONS: To thrive in this role, you’ll bring strong backend software engineering experience, a solid grasp of data pipelines, and a passion for building scalable, reliable systems. Here’s what you’ll need:
A degree or diploma in Software Engineering, Computer Science, Electrical Engineering, or equivalent experience
At least 5 years of professional experience in software engineering or a related discipline
Expertise in Python development and a deep understanding of backend architecture
Experience deploying services at scale, and familiarity with CI/CD and containerization
Strong Git skills for version control and collaboration
Experience with Kubernetes or similar orchestration tools for managing containerized applications
Hands-on experience designing and developing REST APIs
Familiarity with issue tracking tools like Jira or Redmine
U.S. citizenship is required, due to program requirements

Proficiency with common data analysis libraries/tools (e.g., Pandas, Numpy), and building ETL pipelines
Experience in data visualization, data science and numerical analysis techniques
Familiarity with agile development practices
Database knowledge (SQL)
Experience with web and user interface development

Citizenship of AU / NZ / EU / NATO