Sentinel Principal Industrial Engineer Data Analytics and Estimation
Listed on 2026-07-18
-
IT/Tech
Data Engineering, Data Analyst
Relocation assistance may be available. Clearance required for start:
Yes. Clearance type:
Secret. Travel:
Yes, 10% of the time.
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 Principal Industrial Engineer – Data Analytics & Estimation will serve as a key member of the Production Operations Industrial Engineering team, combining industrial engineering, analytics, automation, and operations knowledge to improve decision-making, reporting, and execution across the organization. This role will lead the development, automation, and sustainment of critical Industrial Engineering and Production Operations metrics, dashboards, and data processes used by leadership and cross‑functional teams.
- This position requires a technically strong individual who can build scalable data solutions, translate operational needs into actionable analytics, and partner effectively with Manufacturing, Operations, Scheduling, Estimating, Finance, HR, and Engineering stakeholders. The ideal candidate will be able to own projects end‑to‑end, from requirement definition and data acquisition through automation, visualization, documentation, training, and sustainment.
As a full‑time employee of Northrop Grumman
, you are eligible for our robust benefits package including:
- Medical, Dental & Vision coverage
- 401k
- Educational Assistance
- Life Insurance
- Employee Assistance Programs & Work/Life Solutions
- Paid Time Off
- Health & Wellness Resources
- Employee Discounts
This position’s standard work schedule is a 9/80. The 9/80 schedule allows employees who work a nine‑hour day Monday through Thursday to take every other Friday off. This role may offer a competitive relocation assistance package.
Basic Qualifications- 5 years of experience with a Bachelor’s degree in Industrial Engineering, Systems Engineering, Operations Research, Data Analytics, Computer Science, Applied Mathematics, Statistics, or related fields; 3 years with a Master’s; 1 year with a PhD.
- Experience developing and automating dashboards, reports, metrics, or analytics products for operations, manufacturing, industrial engineering, supply chain, or business systems environments.
- Must be U.S. Citizen with the ability to obtain an interim Secret Security level clearance pre‑start, with the ability to obtain a final Secret Security level clearance post‑start.
- 2+ years of experience using Python and SQL for data extraction, transformation, automation, and analysis.
- 2+ years of experience with Tableau, Power BI, or similar business intelligence / visualization tools.
- Experience in the Aerospace and Defense industry.
- Experience supporting Production Operations, Manufacturing, Industrial Engineering, Scheduling, Estimating, or Supply Chain functions in a complex program environment.
- Experience building fully automated dashboards and repeatable data pipelines from source systems through final visualization.
- Experience with SQL Server / SSMS, data warehousing concepts, and productionized analytics workflows.
- Experience with Git Hub or other version‑control tools for script and analytics management.
- Experience with Power BI, Tableau, Alteryx, Excel/VBA, and similar automation / data engineering tools.
- Experience with statistical modeling, simulation modeling, capacity analysis, or operations research methods.
- Experience with BOEs, actuals analysis, cost estimating methodologies, or TINA‑compliant…
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