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Jr. Systems Engineer; Digital Engineering Methodology

Job in Chantilly, Fairfax County, Virginia, 22021, USA
Listing for: KBR Careers
Full Time position
Listed on 2026-10-05
Job specializations:
  • Engineering
    Systems Engineer
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 82000 - 102000 USD Yearly USD 82000.00 102000.00 YEAR
Job Description & How to Apply Below

Title:

Jr. Systems Engineer (Digital Engineering Methodology) Belong. Connect. Grow. with K !

K ’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.

K  is seeking a Junior Systems Engineer (Digital Engineering Methodology) to join our team on site in Chantilly, VA. TS/SCI with poly is required for consideration.

Why Join Us?
  • Innovative Projects: K ’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
  • Collaborative Environment:
    Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
  • Impactful Work:
    Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.

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 K  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:
  • Assist experienced systems engineering staff under supervision with Digital Engineering (DE) processes and methods for enterprise-wide adoption based on industry best practices and trends.
  • Apprentice to experienced MBSE practitioners and support them in their effort to enable modernization of systems engineering and acquisition leveraging MBSE.
  • 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:

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.
  • Bachelor’s Degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and 0 years of experience.
  • 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, Dev Sec Ops , AWS and/or Azure,…
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