Principal Data Engineer/Sr. Principal Data Engineer-Active Secret DOD
Listed on 2026-02-03
-
Engineering
Data Engineer, Data Science Manager
RELOCATION ASSISTANCE:
No relocation assistance available
CLEARANCE TYPE:
Secret
TRAVEL:
Yes, 10% of the Time
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's Aeronautics Systems organization is seeking an experienced and motivated Principal Data Engineer or Sr. Principal Data Engineer to join our team of qualified and diverse individuals. This role will sit in our Melbourne, FL location, and cannot be performed remotely due to the nature of the role.
We are a team of Manufacturing Engineers who provide technical solutions to a wide range of complex and challenging problems. The selected candidate will stand up, configure, maintain, and analyze the organization’s databases. Additionally, the individual will support data collection platform development, various code maintenance and query needs for downstream visualizations and metrics for organizational key performance indicators.
Please Note: A start date, for candidates selected, will be determined after obtaining Special Program Access and contingent upon Business/Customer funding.
Essential Functions:
- Design, develop, test, and deploy scalable data architecture solutions
- Research, evaluate, and determine best fit of tools and techniques for data mapping, data mining, data transformation, and data integration
- Develop complex queries or routines to extract data form disparate sources
- Develop and troubleshoot code, stored procedures, functions, tables, and views.
- Collaborate with functional teams to understand systems and align on data and system requirements.
- Consult with customers and stakeholders to define data needs, gather requirements, and translate them into actionable solutions
- Regularly update leadership and stakeholders on project status, challenges, and outcomes to ensure alignment with strategic objectives
We offer flexible work arrangements, phenomenal learning opportunities, educational assistance, exposure to a wide variety of projects and customers, and a very friendly team environment. We are looking for self-motivated, proactive, and goal-oriented people to help us grow our services and become even better at what we do.
This requisition may be filled at a
Principal Data Engineer /
Sr. Principal Data Engineer
based on the qualifications below.
Basic Qualifications Principal Data Engineer:
- Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university and 4 years of data analytics or data engineering experience; OR a Master s degree with 3 years’ of data analytics or data engineering experience, PhD and 0 year of data analytics or data engineering experience
- Work experience in multiple software code languages with querying, scripting, and automation (Python, Java, SQL, HTML, JS, CSS, Power BI/Dax, and Airflow.)
- Experience in Extraction Transform Load (ETL) and data migration
- Active Secret DOD clearance investigated within the last 5 1/2 years.
- Ability to obtain and maintain Special Program Access security clearance in a reasonable amount of time as required by the business.
Basic Qualifications Sr. Principal Data Engineer:
- Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university and 8 years of data analytics or data engineering experience; OR a Master s degree with 6 years’ of data analytics or data engineering experience, PhD and 4 year of data analytics or data engineering…
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