RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE TYPE: Secret

TRAVEL: Yes, 10% of the Time

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.

If you want to put your talent, experience, and passions to use and be part of something greater, you are in the right place.

Northrop Grumman Aeronautics Systems has an opening for a Principal or Sr. Principal Data Engineer to join our team of qualified, diverse individuals located onsite in Rancho Bernardo, CA.

Join our team and build scalable pipelines from the ground up. You will play a key role in designing, developing, and maintaining modern, optimized, and high-performance data storage solutions. If you enjoy collaborating with data scientists, analysts, and software engineers to integrate and process data efficiently, we’d love to hear from you!

Accomplish

In this role you will design, build, and maintain scalable ETL (Extract, Transform, Load) pipelines using Python, while developing and optimizing data storage solutions, and ensure data integrity, security and best practices are followed. 

The ideal candidate should have a background in Software Engineering, with a particular focus on Data Engineering.

This position is fully on-site, with no remote work available.

Essential Functions:

• Design, build, and maintain scalable ETL (Extract, Transform, Load) pipelines using Python.
• Develop and optimize data storage solutions, including relational and NoSQL databases.
• Collaborate with data scientists, analysts, and software engineers to integrate and process data efficiently.
• Ensure data integrity, security, and governance best practices are followed.
• Monitor and improve data processing performance and scalability.
• Work with on-prem platforms to manage data infrastructure.
• Write and maintain tests and documentation for data architecture, workflows, and processes.

Succeed

The individual we seek will be self-motivated, proactive, goal-oriented to help us grow our services, become even better at what we do and will possess the following qualifications.

These roles may be filled by a Principal Engineer or Sr. Principal Engineer Level.

Basic Qualifications Principal Engineer:

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or related field, with 5 years of related engineering experience, OR Master’s degree in Computer Science, Data Engineering, Software Engineering, or related field, with 3 years of related engineering experience
• Recent professional experience in data engineering and/or software development.
• Strong programming skills in Python and SQL
• Proficiency in SQL for relational databases (MSSQL, PostgreSQL, MySQL, or similar).
• Familiarity with CI/CD pipelines and version control (e.g., Git, Docker, etc).
• Your ability to transfer and maintain the final adjudicated government Secret clearance or higher, and any program access(es) required for the position within a reasonable period of time, as determined by the company.

Basic Qualifications Sr. Principal Engineer:

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or related field, with 8 years of related engineering experience, OR Master’s degree in Computer Science, Data Engineering, Software Engineering, or related field, with 6 years of related engineering experience OR a PhD in Computer Science, Data Engineering, Software Engineering, or related field with 4 years of related engineering experience
• Recent professional experience in data engineering and/or software development.
• Strong programming skills in Python and SQL
• Proficiency in SQL for relational databases (MSSQL, PostgreSQL, MySQL, or similar).
• Familiarity with CI/CD pipelines and version control (e.g