Data Engineer (Level 3 or Level 4)

PLEASE NOTE- This position will require a 'face to face' interview for selected applicants. Candidates are encourage to apply ONLY if they are willing and able to travel to one of our facilities to conduct an on-site interview with our hiring team. 

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. 

The Insights & Intelligence (i2) organization is looking for individuals to work on fast-paced special projects to support critical business initiatives with executive sponsorship. The right individuals are engineers that have demonstrated experiences across data engineering and data science, are deeply curious about how businesses operate, and enjoys building scalable products. You will work directly with domain product owners to empower the business and its decision-making using data. 

This position may be filled in Falls Church, VA (local candidates preferred). However, we may consider a hybrid schedule or a remote/teleworking option (subject to change) to include up to 25% business travel.

Key Responsibilities:

• Lead the design and development of products for fast-paced special projects.  

• Help shape the evolving data platform within CIDO by building reusable components and sharing ideas on architecture and best practices. 

• Partner with business stakeholders, analysts, and data scientists to translate strategic questions into data products and pipelines. 

• Design, code, test, and deploy production-grade data pipelines and models using Python/PySpark and SQL within Databricks.  

• Translate business requests into design specifications and requirements to build data engineering models, structures, and machine learning models that help scale our analytics.  

This position may be filled at either Level 3 (Principal level), or Level 4 (Sr. Principal level), depending on the skills, experience, and education level of the candidate based on the below requirements.

Basic Qualifications (for Level 3):

• Master's degree in Computer Science, Software Engineering, or a similar STEM related technical discipline with a minimum of 3 years of Data Engineering or Software Development experience; OR a Bachelor’s degree in Computer Science, Software Engineering, or a similar STEM related technical discipline with a minimum of 5 years of Data Engineering or Software Development experience is REQUIRED
• Must have experience with Python and SQL
• Must have experience with AWS, containerization, and Git

Basic Qualifications (for Level 4):

• PhD in Computer Science, Software Engineering, or a similar STEM related technical discipline with a minimum of 4 years of Data Engineering and/or Software Development experience; OR a Master's degree in Computer Science, Software Engineering, or a similar STEM related technical discipline with a minimum of 6 years of Data Engineering or Software Development experience; OR a Bachelor’s degree in Computer Science, Software Engineering, or a similar STEM related technical discipline with a minimum of 8 years of Data Engineering or Software Development experience is REQUIRED
• Must have experience with Python and SQL
• Must have experience with AWS, containerization, and Git
• Experience with Databricks is a must

Preferred Qualifications: 

• The ideal candidate will have a Master's degree in Computer Science with 8 years of Data Engineering experience, using Python/PySpark and SQL within Databricks to build data engineering and machine learning models
• Strong experience in deploying production software engineering products or data engineering products
• Experience in technical business consulting, ability to take customer requests from ambiguity to deployable product
• Knowledge of domain-driven data ownership concepts 
• Understand the importance of software engineering best practices in data development
• Proven ability to tackle ambiguous, cross‑domain business problems and turn them into concrete data solutions
• Excellent communication skills, with a proven ability to translate technical concepts and data requirements for business partners
• Secret clearance

We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment.  Our diverse portfolio of programs means there are endless paths to cultivate your career.  We also offer exceptional benefits/healthcare, a 9/80 work schedule, and a great 401k matching program.  Come join us!