Principal Software Engineer - Insights & Intelligence

RELOCATION ASSISTANCE:
No relocation assistance available CLEARANCE REQUIRED FOR START:
No

CLEARANCE TYPE:
Secret TRAVEL:
No Description At  Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon.

We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman is hiring a Principal Software Engineer to join our Insights & Intelligence organization within the Chief Information & Digital Office (CIDO) to drive our data, analytics, and AI transformation. You will be responsible for the continuous, reliable, and secure operation of business-critical data pipelines and infrastructure that powers decision-making.

Primary location of this role is Falls Church, VA, but we may also consider a hybrid or teleworker arrangement for the role.

Key responsibilities:

Pipeline Reliability:
Design, implement, and maintain monitoring, alerting, and logging capabilities for production data pipelines, promoting high availability, reliability, and operational visibility across the Databricks environment.

CI/CD Engineering:
Develop and maintain continuous integration and continuous delivery pipelines for data applications and infrastructure using Git, Databricks Asset Bundles, Git Hub Actions, Git Lab CI/CD, or comparable tools. Enable rapid, repeatable, and controlled deployments.

Operational Excellence:
Proactively identify, diagnose, and resolve workflow failures, performance bottlenecks, and other operational issues. Apply software engineering practices to improve platform resilience, maintainability, and supportability.

Data Integration Development:
Design, develop, and optimize scalable data integration solutions that ingest, transform, and deliver data from a variety of enterprise source systems.

Code Quality and Testing:
Establish and maintain high standards for code quality, architecture, documentation, and automated testing. Treat data pipelines and integration components as production-grade software.

Cross-Functional Collaboration:

Partner with senior data engineers, platform engineers, and architects to translate technical designs into stable, secure, and well-engineered data services.

Basic Qualifications:

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field and at least 5 years of relevant professional experience; 3 years with a Master's degree.

Demonstrated experience in software development, Dev Ops, platform engineering, data engineering, or a closely related discipline.

Advanced proficiency in Python, including experience developing robust, maintainable, and well-tested application code.

Experience building reusable CI/CD workflows with Git Hub Actions, Git Lab CI/CD, or a comparable automation platform.

Demonstrated experience designing and implementing CI/CD practices for data platforms, infrastructure, or software systems.

Strong understanding of source control, automated testing, deployment automation, and production support practices.

Experience troubleshooting complex production systems, including workflow failures, data-quality issues, performance bottlenecks, and infrastructure-related…