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Staff Data Engineer - job 1 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

If you're ready to take your career to the next level, Northrop Grumman has an exciting opportunity for a Staff Data Engineer in Melbourne, Florida. Here, you will be more than just a cog in the machine; you will actively shape data strategies that are pivotal to our operations. Imagine working on groundbreaking technologies that will impact lives for generations. You will be part of a team that thrives on curiosity and enjoys tackling the impossible while having fun at work. Your responsibilities will include developing a program-specific data strategy that aligns with our Enterprise Data Strategy, overseeing data science practices, and enhancing performance analyses across various operations. You will also get to manage infrastructure, automate systems, and engage with leaders to address operational challenges. Ideal candidates will have a robust background in STEM, along with extensive experience in data strategies, analytics tools, and turning complex data into actionable insights. Here, we believe in fostering an environment where your ideas are valued, and innovation is encouraged. Plus, you may even have the chance to lead cross-functional teams to create cutting-edge solutions. If you love the idea of rolling your sleeves up and diving into big data, this role is tailor-made for you. Join us as we create the future and solve real-world problems with your expertise in data engineering!

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

As a Staff Data Engineer at Northrop Grumman, your main responsibilities will include developing a program-specific Data Strategy, managing Data Science practices, and identifying operational issues to create effective solutions. You will also be responsible for designing and overseeing data infrastructure, ensuring secure and efficient handling of vast data sets, and leading performance analysis across program operations.

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What qualifications are needed to apply for the Staff Data Engineer position at Northrop Grumman?

To apply for the Staff Data Engineer position at Northrop Grumman, candidates need at least a Bachelor’s Degree in a related STEM field with 12 years of relevant experience, or a Master’s Degree with 10 years of experience. Additional qualifications include expertise in big data solutions, data analytics tools, and experience in managing technical teams.

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What tools and technologies should a Staff Data Engineer at Northrop Grumman be familiar with?

A Staff Data Engineer at Northrop Grumman should be familiar with data analytics tools such as Python, SQL, and Tableau. Additionally, experience with large-scale distributed software, NoSQL databases, and agile methodologies is highly valuable. Understanding elastic data storage and archive management is also crucial for this role.

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

Preferred qualifications for the Staff Data Engineer role at Northrop Grumman include a Master’s Degree in Engineering, Mathematics, Statistics, or Computer Science, as well as five years of hands-on software development experience. Strong communication skills and experience in UX/UI design are also beneficial.

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

Yes, Northrop Grumman may offer relocation assistance for the Staff Data Engineer position, making it easier for qualified candidates to transition to our office in Melbourne, Florida.

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Common Interview Questions for Staff Data Engineer
Can you describe your experience developing data strategies?

When answering this question, highlight specific projects where you developed and executed a data strategy. Discuss the methodologies you used, the technologies involved, and the outcomes that resulted from your work.

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What analytics tools are you most familiar with and how have you used them?

Be prepared to talk about the specific analytics tools you have utilized in your past roles, such as Python, SQL, or Tableau. Provide examples of how you've applied these tools to gather insights from data or solve operational issues.

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How do you ensure data security while managing large data sets?

Discuss your understanding of data security protocols, including encryption and access controls. Provide examples of how you implemented these practices in previous positions to protect sensitive data.

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Describe a time when you identified an inefficiency in a process and how you addressed it.

Use the STAR method (Situation, Task, Action, Result) to detail a specific example. Focus on how you identified the problem, the solution you implemented, and the positive impact it had on the operational performance.

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What experience do you have with UI/UX design in data applications?

Highlight any projects where you contributed to UI/UX design. Explain how you collaborated with design teams and ensured that usability was a priority when developing data applications.

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Tell me about a time you had to lead a cross-functional team.

Discuss the goals of the project, the challenges faced, and how you facilitated collaboration between different departments. Emphasize your leadership style and how you motivated the team to achieve shared objectives.

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Can you explain how you handle tight deadlines and multiple projects?

Share your strategies for time management and prioritization. Provide examples of how you've successfully juggled multiple projects, ensuring quality outcomes while meeting deadlines.

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What methodologies do you prefer when working on data projects?

Discuss your familiarity with agile methodologies and how they can enhance collaboration and flexibility in data projects. Provide examples of how running sprints or using iterative processes led to successful project outcomes.

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How do you stay updated with the latest trends in data engineering?

Emphasize your commitment to continuous learning by mentioning industry blogs, online courses, or conferences you attend to keep your skills sharp and stay informed about emerging data engineering technologies.

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What do you believe is the future of data engineering?

Share your insights on data trends, such as the rise of AI and machine learning's impact on data processing. Discuss how you envision the roles in data engineering evolving in response to these advancements.

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FUNDING
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TEAM SIZE
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HQ LOCATION
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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 20, 2025

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