Digital Systems Engineer

Overview

Job Number: R0233337

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.

• 5+ years of experience applying systems engineering or modeling methodologies, including BPMN, UML, DoDAF, or 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

• 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

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen s benefit programs.

Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $ (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen s total compensation package for employees.

This posting will close within 90 days from the Posting Date.

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you ll work with colleagues…