Data Automation Engineer/Analyst - Level 2 or 3 (AHT)

0090 CORP-Corporate Office; United States; On-site; USD 92,000 - 171,000; Full time

Benefits offered by this job

Relocation assistance

Travel: 10% of the time

Job summary

Northrop Grumman is seeking a Data Automation Engineer/Analyst (Level 2/3) in Aurora, CO. You will build Python-based data tools and pipelines to support the New Moon program, analyze large datasets, and collaborate with analysts and engineers to translate requirements into automated solutions.

The role requires STEM discipline education and active TS clearance with SCI eligibility. You will participate in Agile ceremonies and contribute to documentation and cross-functional projects.

Qualifications

• Bachelor’s degree in STEM with 2+ years (Level 2) or 5+ years (Level 3) of relevant experience.
• Active TS Clearance with SCI eligibility at time of application.
• Proficiency in Python for scripting and data processing.

Responsibilities

• Develop and maintain Python-based scripts and tools for data analysts and engineers.
• Design data processing pipelines using Python for large datasets.
• Perform basic exploratory data analysis and communicate findings to stakeholders.
• Collaborate with data analysts/scientists to translate requirements into scalable tools.
• Use Git and reviews to ensure code quality and traceability.
• Create documentation and usage guides for internal tools and pipelines.

Skills

Python scripting

Data processing

EDA

Git/Version control

Education

STEM degree

Tools

NumPy

pandas

Matplotlib/Seaborn/Plotly

Job description

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top 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. The Central Region Systems Engineering organization within Northrop Grumman Space Systems pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills and 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 as a Data Automation Engineer/Analyst (Level 2 or 3) in Aurora, CO.

Roles and Responsibilities:

• Develop, enhance, and maintain Python-based scripts, tools, and small applications that support data analysts and engineers on the New Moon program.
• Design and implement data processing pipelines using Python (e.g., NumPy, pandas, plotting libraries) for ingesting, cleaning, transforming, and analyzing large or complex datasets.
• Perform basic exploratory data analysis (EDA) to understand data quality, structure, trends, and anomalies, and communicate key findings to technical stakeholders.
• Apply working knowledge of statistics (distributions, hypothesis testing, regression, confidence intervals) to support data-driven decision-making and automation logic.
• Partner closely with data analysts and data scientists to understand their workflows, pain points, and analytical requirements, then translate those needs into robust, automatable tools and processes.
• Break down vague or high-level analyst requests into concrete technical tasks and deliver incremental improvements that add immediate value while building toward longer-term solutions.
• Use version control (Git) and collaborative development practices (branching, pull requests, code reviews) to ensure code quality, maintainability, and traceability.
• Debug and resolve issues that span data, configuration, and code across complex processing environments, including edge cases and unexpected data conditions.
• Create clear technical documentation and usage guides for internal tools, pipelines, and scripts to enable adoption and long-term maintainability.
• Participate in Agile ceremonies (e.g., sprint planning, stand-ups, retrospectives), contribute to backlog refinement, and collaborate effectively with cross-functional teams (systems engineering, software, data analysis, test).
• Communicate data-driven conclusions, trade-offs, and technical recommendations clearly to technical stakeholders and team leads.

This requisition may be filled at either a Level 2 or Level 3 based on the qualifications below.

Basic Qualifications:

Level 2:

• Bachelor’s degree in a science, technology, engineering, or mathematics (STEM) discipline and 2+ years of relevant experience; 0+ years with a Master’s degree; or an additional 4 years of relevant experience may be considered in lieu of a degree.
• Must have active TS Clearance with SCI eligibility at time of application.
• Proficiency in Python for scripting, automation, and data processing, including experience with common data and scientific libraries (e.g., NumPy, pandas, plotting libraries such as Matplotlib, Seaborn, or Plotly).
• Experience developing and maintaining internal tools, scripts, or small applications used by data analysts or other engineers.
• Experience working with large or complex datasets and performing basic exploratory data analysis (EDA).
• Familiarity with version control and collaborative development practices (e.g., Git, branching strategies, code reviews).

Level 3:

• Bachelor’s degree in a science, technology, engineering, or mathematics (STEM) discipline and 5+ years of relevant experience; 3+ years with a Master’s degree; or an additional 4 years of relevant experience may be considered in lieu of a degree.
• Must have active TS Clearance with SCI eligibility at time of application.
• Proficiency in Python for scripting, automation, and data processing, including experience with common data and scientific libraries (e.g., NumX, pandas, plotting libraries such as Matplotlib, Seaborn, or Plotly).
• Experience developing and maintaining internal tools, scripts, or small applications used by data analysts or other engineers.
• Experience working with large or complex datasets and performing basic exploratory data analysis (EDA).
• Working knowledge of statistics for data analysis (e.g., distributions, hypothesis tests, regression, confidence intervals).
• Demonstrated ability to draw clear, data-driven conclusions and communicate them to technical stakeholders.
• Familiarity with version control and collaborative development practices (e.g., Git, branching strategies, code reviews).
• Experience working closely with data analysts and/or data scientists to understand analytical workflows and translate them into scalable, maintainable tools and pipelines.
• Proven ability to break down vague or evolving analyst requests into clear technical requirements, prioritize work, and deliver incremental improvements in an Agile environment.
• Demonstrated ability to independently investigate and resolve complex issues that span data, configuration, and code in intricate processing environments.

Preferred Qualifications:

• Experience supporting data-intensive or mission-focused programs in the defense, aerospace, or national security domain.
• Experience integrating automated data processing or analytics pipelines into CI/CD workflows.
• Experience with dashboarding or reporting tools (e.g., custom web dashboards, BI tools) to expose data and metrics to stakeholders.
• Familiarity with cloud or high-performance computing environments and their data processing patterns.

Primary Level Salary Range: $91,800.00 - $137,600.00

Secondary Level Salary Range: $114,000.00 - $171,000.00

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.

We are a pioneering company. With careers across all areas: air, cyber, land, sea and space – our 90,000 employees work as one to defend and define the future.

Northrop Grumman careers and internships are as varied as your interests, with a lifetime of potential that will give you every opportunity to do your best work.

Working together with people from many backgrounds, personal passions and disciplines, we share a drive to push the boundaries of science, technology and engineering to meet the ever evolving needs of our customers worldwide.