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KBR

Jr. Systems Engineer (Digital Engineering Process Support)

Chantilly, VA, United States

On-site

$82,000 to $102,000 USD / year

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Job details

Pay: $82,000 to $102,000 USD / year
Workplace: On-site
Posting language: English
Posted: Nov 5, 2026

Original job description

Title:

Jr. Systems Engineer (Digital Engineering Process Support) At KBR, we deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 85 countries and operations in over 28 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results.

Trinzic is the future independent company to be created through the planned spin-off of KBR's Mission Technology Solutions business, expected in January 2027. Our people work at the frontier of what is possible, delivering solutions in challenging environments and advancing some of the world's highest-priority national security and space missions.

Backed by decades of mission success, deep expertise, and trusted partnerships, Trinzic will launch as a global organization with more than 18,000 employees supporting customers around the world. Join us at a defining moment and help shape the future of a company built to tackle complex challenges and make a meaningful impact.

Candidates who join KBR's Mission Technology Solutions business before the spin-off will transition to Trinzic when the separation is complete and will not need to reapply for employment.

KBR/Trinzic is seeking a Junior Systems Engineer (Digital Engineering Process Support) to join our team on site in Chantilly, VA. TS/SCI with Polygraph is required for consideration.

This effort is in direct support of a US Space Industry Prime Partner in the Chantilly, VA area. We are looking for the self-driven, the bold, the passionate Systems Engineers who will join KBR on an exciting journey of professional thrill and personal growth as the Team pursues and steps up to strategic Customer Enterprise-level challenges!

Key Responsibilities:

Under the supervision of tenured systems engineering professionals, assist in fulfilling Digital Engineering (DE) processes and methods for enterprise-wide adoption based on industry best practices and trends.
Examples of such processes and methods include: Model Based Systems Engineering (MBSE) processes applicable for systems engineering and analyses processes, development of digital thread framework, model portfolio development (e.g. standards for model integration and interoperability to include industrial partner models, meta-models, profiles, ontology, model repositories, modeling languages, and digital model libraries of reusable patterns and templates), model quality and review processes, and updating acquisition methods (e.g. developing DE-based data item descriptions).
Apprentice to experienced Systems Engineering MBSE practitioners and support them in their effort to enable modernization of systems engineering and acquisition processes.
Under supervision, deliver foundational digital engineering (DE) approaches that ensure the engineering and MS&A processes are met.
Assist technical teams and leadership in the implementation of MBSE methods and techniques.
Assist in developing and supporting enterprise level digital engineering approaches, ensuring that models, data, and information are accessible, interconnected, and structured to support organizational goals.
Ensure that systems engineering and MS&A processes covered in the SOW requirements are followed.
Support the federated modeling approach across the enterprise and mission partners.
Adhere to the MBSE modeling methodology guidelines and principles established by the team.
Ability to communicate modeling concepts and best practices to stakeholders at varying levels.

Basic Compensation:

$82,000 - $102,000 USD annually

The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.

Work Environment:

Location: On-site
Travel Requirements: Minimal
Working Hours: Standard

Required Qualifications:

Must possess a current/active TS/SCI clearance with Polygraph to be considered.
Bachelor’s Degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and 0 years of experience, Systems Engineering related degrees preferred.
Foundational understanding of systems engineering principles and familiarity with Digital Engineering (DE)/Model-Based Systems Engineering (MBSE).
Basic understanding of data concepts and technologies such as relational databases, ontology, Unified Architecture Framework (UAF) or Systems Modeling Language (SysML).
Strong communication skills with the ability to collaborate effectively with teammates and stakeholders.

Desired Qualifications:

Masters degree in Systems Engineering or relative field.
Exposure to MBSE tools or coursework (e.g., SysML) is desired
General awareness of digital industry trends such as Cloud/IaC, Data Analytics, DevSecOps, AWS and/or Azure, Containerization/micro-services
Basic knowledge or academic exposure to satellite or space-based technologies
Familiarity with Operations Research/Systems Analysis concepts
Introductory knowledge of Digital Thread or Digital Twin concepts
Willingness to learn and grow within systems engineering disciplines

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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Skills

people@work
Leadership
Engineering principles
Communication skills
Infrastructure as code
Data analysis
AWS
Microsoft Azure
Research

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