Sr. Principal Software Engineer
- Locations:
- Unknown City, Virginia, United States
Falls Church, Virginia, United States - Security Clearance:
- Not Required
About Northrop Grumman
Northrop Grumman solves the toughest problems in space, aeronautics, defense and cyberspace to meet the ever-evolving needs of our customers worldwide. Our 90,000 employees are Defining Possible every day using science, technology and engineering to create and deliver advanced systems, products and services. Northrop Grumman careers and internships are as varied as your interests, with a lifetime of potential that will allow you to work together with people from many backgrounds, personal passions and disciplines.
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 senior 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. This role is 100% virtual/work from home, but can also be located onsite at our Corporate Headquarters in Falls Church, VA.
Key responsibilities:
- Pipeline Reliability: Design, implement, and manage monitoring, alerting, and logging systems for all production data pipelines to ensure high availability and reliability within the Databricks environment.
- CI/CD Implementation: Develop and maintain Continuous Integration/Continuous Delivery (CI/CD) pipelines for data code and infrastructure using tools like Git, Databricks Asset Bundles, or similar, ensuring rapid and safe deployment of changes.
- Proactive Resolution: Identify, diagnose, and resolve workflow issues, performance bottlenecks, and operational failures, applying a software engineering mindset to infrastructure and operations.
- Integration Development: Develop and optimize complex, scalable data integration solutions to ingest and deliver data from various enterprise source systems.
- Code Quality: Set and maintain high standards for clean code and architecture with robust testing for integration components, treating data pipelines as production-grade software.
- Collaboration: Work directly with Senior Data Engineers and Architects to translate designs into stable, well-engineered, and operational data services.
Basic Qualifications:
- Must have, at minimum, a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
- Must have a Minimum of 8 years of experience in a role focused on software development, DevOps, and data engineering.
- Proven experience building data integrations from diverse sources like SQL, Oracle, and REST APIs.
- Advanced proficiency in Python, with a strong background in writing robust, tested application code.
- Hands-on experience with Databricks, Apache Spark, and AWS cloud services (e.g. S3, Kafka, Batch) and implementing Infrastructure as Code.
- Demonstrated experience designing and implementing CI/CD practices for data or software systems.
Preferred Qualifications
- Experience implementing data governance and permissions at scale within modern tools and technologies.
- Deep understanding of networking, security, and performance tuning with Databricks and AWS.
- Experience integrating data from specific enterprise systems (e.g., SAP, MES, PLM)