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