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Data Analytics Engineer Level 3

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Northrop Grumman Corp. (JP)
Full Time position
Listed on 2026-02-16
Job specializations:
  • Engineering
    Systems Engineer, Mechanical Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Data Analytics Engineer Level 3/4

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.

Northrop Grumman Mission Systems is a trusted provider of mission‑enabling solutions for global security. Our Engineering and Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter.

Come be a part of our mission!

Northrop Grumman Mission Systems is seeking a Data Analytics Engineer Level 3 or 4 to support the development and ongoing support of world‑class US Navy machinery (turbines, generators, motors, and other system components based out of Sunnyvale, CA . In this role, you will leverage data to drive decision‑making within engineering, and production processes. Your work will involve analyzing complex data sets, developing insights to improve manufacturing efficiency and quality, and collaborating with cross‑functional teams to enhance production and design capabilities.

If you are passionate about using data to improve manufacturing processes and enhance engineering outcomes, join our team and contribute to critical national defense projects.

What You’ll get to Do:
  • Use classical analysis techniques to establish an understanding of machinery acoustic performance and resolve issues.
  • Develop a variety of component and system level predictive / simulation models.
  • Perform modal, vibration, modal, direct frequency response, and sound transmission analyses to predict performance and resolve issues.
  • Gather data from tests, and analyze the results.
  • Correlate model predictions to test data to validate the approach / model.
  • Work closely with cross‑function internal and customer teams.
  • Prepare technical reports and presentations summarizing findings and recommendations for internal and external stakeholders.
Basic Qualifications for Data Analytics Engineer level 3:
  • Bachelor's Degree in STEM (Science, Technology, Engineering or Math) discipline with 5 years relevant work experience; or Master’s Degree in STEM (Science, Technology, Engineering or Math) with 3 years of relevant experience; or Ph.D in STEM (Science, Technology, Engineering or Math) with no relevant work experience.
  • Experience with simulation software tools:
    Hypermesh, Nastran, Abaqus, MATLAB (or similar)
  • Must be a US citizen.
  • Ability to obtain and maintain a Secret Clearance.
Basic Qualifications for Data Analytics Engineer level 4:
  • Bachelor’s Degree in STEM (Science, Technology, Engineering or Math) discipline with 8 years relevant work experience; or Master’s Degree in STEM (Science, Technology, Engineering or Math) discipline with 6 years relevant work experience; or Ph.D in STEM (Science, Technology, Engineering or Math) with 3 years of relevant work experience.
  • Experience with simulation software tools:
    Hypermesh, Nastran, Abaqus, MATLAB (or similar)
  • Must be a US citizen.
  • Ability to obtain and maintain a Secret Clearance.
Preferred Qualifications:
  • Experience in developing system‑level finite element models.
  • Experience in performing a classical and finite element analysis solution types.
  • Experience collecting and analyzing large data sets.

Primary Level Salary…

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