Digital Systems Engineer

Booz Allen Hamilton•Hampton, VA

About The Position

Digital Systems Engineer The Opportunity: Are you excited about leveraging your systems engineering expertise to support mission-critical initiatives? Do you enjoy using advanced modeling techniques to design solutions that span the engineering lifecycle? At the intersection of technical problem-solving and digital transformation, our Digital Systems Engineer professionals drive innovation through high-quality system and process modeling. As a Digital Systems Engineer with our team, you'll apply model-based methodologies to create and maintain system workflows, interfaces, and architecture diagrams to solve challenging client problems. By collaborating across technical and non-technical teams, you'll define and communicate complex technical solutions and contribute to developing a digital engineering future state for government clients. Your role will involve innovative approaches to translating stakeholder needs into actionable models and enabling operational insights through digital twins and data integrations. With your skills in architecture modeling tools, advanced data structures, and model-based engineering frameworks, you’ll have the opportunity to modernize processes and workflows in support of highly classified missions. You'll grow your expertise in evolving the infrastructure that drives our client’s success while supporting national security priorities. Join us. The world can't wait.

Requirements

5+ years of experience applying systems engineering or modeling methodologies, including Business Process Model and Notation (BPMN), Unified Modeling Language (UML), Department of Defense Architecture Framework (DoDAF), or Model-Based Systems Engineering (MBSE) using frameworks such as SysML
3+ years of experience producing architectural and process models to communicate system workflows, component interactions, or technical requirements across teams
Experience with industry-standard modeling tools such as Cameo Systems Modeler
Knowledge of relational and non-relational database structures
Ability to design and communicate data flows for hybrid database ecosystems
Ability to travel up to 25% of the time
TS/SCI clearance
Bachelor’s degree in a CS or Systems Engineering field

Nice To Haves

Experience with digital twin models and integrating system models with live data streams for simulation, analysis, or situational monitoring
Experience with geospatial systems or data formats, including GIS concepts and standards such as GeoJSON
Experience with Python for ETL, data analysis, or automation tasks
Experience with advanced development workflows, including version control systems such as Git, and collaborative engineering practices such as pull requests and structured code reviews
Knowledge of cloud architecture principles and applications in platforms such as AWS
Master’s degree in Systems Engineering, Data Science, or a related field
OCSMP Model User or INCOSE Associate Systems Engineering Professional (ASEP) Certification