DevSecOps Engineer (Level 3 or4)

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE TYPE: SCITRAVEL: 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.At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators, who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought-leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career.
We are seeking an experienced DevSecOps Engineer (Principal / Sr Principal Engineer DevOps) to join our dynamic team of technical professionals. The qualified applicant will become part of Northrop Grumman's Mission Systems support team in San Antonio, TX.
Please be aware that this position will be contingent upon capturing program award, obtaining customer funding, and holding final clearances prior to start date.
What you'll get to do:

Data Architecture & Modeling - Design scalable data mining pipelines, establish protocols for data ingestion, cleaning, transformation, and storage. Evolve models to capture long-term trends and support real-time analytics.
Statistical Insight - Perform exploratory data analysis, hypothesis testing, and advanced statistical modeling to identify key drivers and associations within heterogeneous data sources.
Visualization & Reporting - Create interactive dashboards and reports using modern BI and visualization tools (e.g., Tableau, Power BI, Plotly) to communicate insights to technical and non-technical stakeholders.
*Cross-Functional Collaboration - Partner with engineering, operations, and business units to define problem statements, translate requirements into analytical solutions, and integrate findings into product roadmaps.
Innovation & Knowledge Leadership - Stay abreast of cutting-edge data science methodologies (e.g., deep learning, reinforcement learning) and evaluate their relevance to defense contexts. Mentor teams and promote a culture of data-driven decision making.
Governance & Quality - Establish data governance standards, data quality metrics, and reproducibility practices across the analytics lifecycle.
This position can be filled at the Principal or the Sr. Principal Level.
Basic Qualifications for Principal Cyber Systems Engineer:

Bachelor's degree in related STEM discipline with 5 years of experience; Master's degree related in STEM discipline with 3 years of experience; PhD in related STEM discipline with 1 year of experience in Electrical Engineering, Systems Engineering, Software Engineering, Computer Engineering, Physics, Mathematics or related technical fields; an additional 4 years of experience may be considered in lieu of a degree.
U.S. Citizenship required
A current/active DoD Top Secret w/ SCI eligibility
Expertise in statistical modeling (regression, classification, time series) and machine learning (supervised/unsupervised)
Proficient in Python/R, SQL, and big-data frameworks (Spark, Hadoop)