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.

You Have:

• 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 If You Have:

• 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

Clearance:

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

Compensation

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.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.