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Staff Data Engineer - job 2 of 2

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.

Please note that this opportunity is contingent on program funding. Start dates are determined after funding confirmation.

Northrop Grumman Aeronautics Systems Sector has an opening for a Staff Data Engineer to join our Digital Strategy & Analytics team. This position is located in Melbourne, Florida.

Job Responsibilities may include, but are not limited to:

  • Develop and implement a program-specific Data strategy that supports the Enterprise Data Strategy

  • Manage Data Science practices for prescriptive, predictive, diagnostic, descriptive, and cognitive analytics through automation, storage elasticity, and on-demand self service provisioning of all data types and lifecycles

  • Enable storing, searching, processing, and securing of extremely large structured or unstructured data sets

  • Proactively identify issues and inefficiencies within the business to develop and deploy solutions

  • Drive the adoption of data analysis methodologies across program operations for improved performance analysis

  • Lead the monitoring and analysis of operational data to identify trends, issues and opportunities, and provide recommendations/solutions

  • Actively engage with program leaders and key stakeholders to identify and understand operational problems

  • Design and manage the data infrastructure, network, and system automation

  • User Interface/User Experience (UI/UX) design and development

Basic Qualifications:

  • Bachelor of Science (BS) in a related Science, Technology, Engineering or Math (STEM) discipline and 12 years of related professional experience; OR Master of Science in a related STEM discipline and 10 years of related professional experience

  • Experience developing and executing data strategies that consider big data solutions such as data lakes and/or data warehouses

  • Understanding of elastic data storage and archive storage lifecycle management

  • Experience with data analytics tools (e.g., Python, SQL, Tableau, etc.) and techniques

  • Experience with large scale distributed software and agile software development methodologies

  • Leadership or management experience over a technical team

  • Your ability to transfer and maintain the final adjudicated government Secret clearance (DoD must be in-scope or enrolled in Continuous Evaluation) and any program access(es) required for the position within a reasonable period of time, as determined by the Company.

 
Preferred Qualifications:

  • Master’s Degree in Engineering, Mathematics, Statistics, or Computer Science

  • 5 years of hands-on software development experience

  • Strong understanding of business and engineering processes, tools, and techniques

  • Experience with UI/UX design and development

  • Excellent ability to communicate complex analytical subject matter across varied audiences

  • Proven ability to lead and inspire cross-functional teams

  • Demonstrated experience developing product visions and fostering effective engineering teams

  • Demonstrated technical leadership of product development teams that have successfully delivered customer-driven products

  • Experience developing big data solutions related to elastic data storage and archive storage lifecycle management

  • Experience collecting, analyzing, and synthesizing insights from multiple data sources

  • Experience with NoSQL Databases (e.g., MongoDB, Neo4J, etc.)

  • Understanding of Northrop Grumman policy, process, and products

  • Ability to make decisions with minimal support

  • Experience in a program management role

  • Top Secret clearance

#AS-FA3

Salary Range: $147,700.00 - $221,500.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Average salary estimate

$184600 / YEARLY (est.)
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$147700K
$221500K

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What You Should Know About Staff Data Engineer, ngc

Are you ready to take your career to the next level? Join Northrop Grumman as a Staff Data Engineer in beautiful Melbourne, Florida! This is not just another job; it’s an opportunity to be part of a team that’s shaping the future through cutting-edge technology. As a Staff Data Engineer, you’ll play a crucial role in developing data strategies that align with our enterprise goals while managing data science practices for everything from predictive analytics to cognitive solutions. At Northrop Grumman, we believe that our employees are at the center of innovation. You'll work closely with stakeholders to identify operational challenges, design data infrastructures, and lead the way in utilizing big data technologies. Your experience with analytics tools like Python or SQL will be invaluable, as you’ll drive the adoption of data analysis methodologies to enhance performance across program operations. Moreover, you’ll enjoy a culture that values intellectual curiosity and diversity, allowing you to bring your whole self to work. We offer relocation assistance, travel opportunities, and competitive salaries, making this an exciting time to join our team. Bring your big ideas and pioneering spirit to Northrop Grumman, where together we can invent the future and have fun along the way!

Frequently Asked Questions (FAQs) for Staff Data Engineer Role at ngc
What are the responsibilities of a Staff Data Engineer at Northrop Grumman?

As a Staff Data Engineer at Northrop Grumman, you will be responsible for implementing program-specific data strategies and managing data science practices, including prescriptive and predictive analytics. Your role will require you to design and manage data infrastructures, engage with program leaders to identify operational problems, and innovate solutions to enhance performance analysis.

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What qualifications are required for the Staff Data Engineer position at Northrop Grumman?

To qualify for the Staff Data Engineer role at Northrop Grumman, you’ll need a Bachelor’s degree in a STEM field with 12 years of relevant experience or a Master's degree with 10 years of experience. Familiarity with data strategies, large-scale distributed software, and analytics tools like Python and SQL is also essential.

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What skills are preferred for the Staff Data Engineer role at Northrop Grumman?

Preferred skills for the Staff Data Engineer position at Northrop Grumman include a Master’s degree in Engineering or a related field, experience in software development, strong communication skills, and leadership abilities. Knowledge of UI/UX design, NoSQL databases, and big data solutions will set you apart from other candidates.

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Is relocation assistance available for the Staff Data Engineer position at Northrop Grumman?

Yes, Northrop Grumman offers relocation assistance for the Staff Data Engineer position to help you transition smoothly to your new role in Melbourne, Florida, allowing you to focus on your work without stress about moving logistics.

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What is the salary range for the Staff Data Engineer at Northrop Grumman?

The salary range for the Staff Data Engineer position at Northrop Grumman is between $147,700.00 and $221,500.00, though final salary offers consider a variety of factors, including your experience and the responsibilities of the role.

Join Rise to see the full answer
Common Interview Questions for Staff Data Engineer
Can you describe your experience with developing data strategies?

In your answer, highlight specific projects where you've created or implemented data strategies. Discuss your approach to data collection, analysis, and how you ensure alignment with business goals.

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How do you manage large datasets and ensure data integrity?

Explain your processes for data management, including techniques for storing and processing large datasets. Discuss any tools you've used, such as data lakes or warehouses, and how you verify data accuracy.

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What analytics tools are you proficient in?

List the analytics tools you are skilled in, such as Python, SQL, or Tableau. Provide examples of how you've utilized these tools effectively in previous projects to derive insights or create reports.

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How do you approach UI/UX design in data engineering projects?

Discuss your understanding of UI/UX principles and how you've incorporated user experience in your data projects. Emphasize any past experiences where you've improved interface usability.

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Can you give an example of a time you identified inefficiencies in a business process?

Share a specific instance where you spotted inefficiencies and the steps you took to address them. Detail the outcome and how your solution improved operations.

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Describe your leadership style when managing technical teams.

Illustrate your leadership philosophy and how you motivate your team. Offer examples of successfully leading a project or mentoring a team member to achieve their goals.

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How do you stay current with advancements in data engineering?

Discuss the resources you use to keep up with industry trends, including websites, publications, or conferences. Mention any recent learning experiences and how they could apply to your role.

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What methods do you use for data analysis and reporting?

Describe your preferred data analysis techniques and how you compile reports for stakeholders. Include the tools and methodologies you find most effective for communicating insights.

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How do you handle tight deadlines and high-pressure situations?

Provide examples of how you've successfully met deadlines in the past. Share your strategies for prioritizing tasks and managing your time effectively under pressure.

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What is your understanding of elastic data storage?

Explain what elastic data storage means to you and your experience with such solutions. Discuss how you have implemented or utilized elastic storage in past roles and its impact on operations.

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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 19, 2025

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