Job Description: A growing engineering services organization supporting federal and defense initiatives is seeking a Digital Engineer to contribute to advanced modeling, analytics, and simulation efforts. This role focuses on developing and implementing digital engineering solutions that support mission-critical intelligence operations. The Digital Engineer will collaborate with multidisciplinary teams to design, build, and maintain model-based engineering artifacts and system architectures. This position plays a key role in integrating engineering processes, software tools, and data frameworks to enhance decision-making and operational effectiveness. Work is performed onsite in Dayton, Ohio. Responsibilities: Develop and manage model-based systems engineering (MBSE) artifacts aligned with customer requirements Design system architectures, interfaces, and workflows to support complex engineering environments Apply SysML/UML methodologies to model system behavior and architecture Integrate multiple software tools and platforms to support engineering processes Support digital engineering initiatives such as Digital Thread and Digital Twin implementations Collaborate with engineers, developers, and stakeholders to deliver technical solutions Produce and present technical documentation and engineering models Required Qualifications: Bachelor's degree in Systems Engineering, Computer Science, Engineering, or related STEM field Minimum of 3 years of relevant experience in digital engineering or MBSE Experience with MBSE tools such as Cameo Systems Modeler, MagicDraw, IBM Rhapsody, or Enterprise Architect Proficiency in SysML/UML modeling Programming experience in Java, C++, Python, or similar languages Experience integrating software systems and tools Strong communication and documentation skills Active TS/SCI security clearance Preferred Qualifications: Master's degree in a related engineering discipline Professional certifications such as OCSMP, INCOSE CSEP, or PMP Experience leading engineering efforts across the full systems lifecycle Familiarity with SysML 2.0 Experience working with data across multiple classification levels Knowledge of DoDAF, UAF, or other architecture frameworks Understanding of configuration management, risk management, and cybersecurity practices Key Skills Required: Model-Based Systems Engineering (MBSE) Systems Architecture & Integration Object-Oriented Programming Skills and Certifications [note: bold skills and certification are required] Active TS/SCI security clearance Bachelor's degree in Systems Engineering, Computer Science, Engineering, or related STEM field Master's degree in a related engineering discipline