Digital Engineer, Mid

Booz Allen Hamilton•Usa, DC

22h•Remote

About The Position

You are a forward-thinking professional, passionate about solving complex problems through a systematic approach, strong technical skills, and data-centric analysis. You demonstrate a willingness to learn and grow as an engineer, actively seeking opportunities to expand your knowledge and skill set. You excel at working independently while collaborating effectively with interdisciplinary teams and stakeholders. You have experience implementing systems engineering approaches to support full lifecycle engineering and product development, and you are eager to deepen your expertise in these areas. You apply leading-edge principles, theories, and concepts to provide innovative solutions, and you are resourceful—leveraging script-based and low or no-code automation or AI tools to streamline and enhance workflows across engineering functions. In this role, you will contribute to the development of the next generation of systems engineering, integrating human-in-the-loop processes and quality guardrails to ensure reliable outcomes. You are encouraged to take initiative, ask questions, and seek mentorship from senior engineers to accelerate your growth. Join us. The world can’t wait.

Requirements

Experience performing systems engineering and scientific analysis and developing systems engineering products
Experience with software programming and using automation or AI to enhance work
Knowledge of practical Model Based Systems Engineering (MBSE) for the development of technical specifications, interface control documents, and system architecture, including using digital engineering tools such as Cameo or MagicDraw, SparxEA, DOORS, or IBM Rhapsody
Ability to learn new technologies, tools, and engineering practices
Ability to establish collaborative relationships with stakeholders or teammates to achieve goals
Secret clearance
Bachelor's degree in a STEM field

Nice To Haves

Experience with project management, product testing, quality assurance, or quality control
Experience working with cloud computing platforms such as AWS, Azure, or GCP
Experience utilizing DevSecOps tools such as GitHub Actions to build and manage CI/CD pipelines
Experience with RAG technologies and LLM frameworks such as LangChain or LlamaIndex, LLM model registries such as Hugging Face, and embedding models and vector databases
Experience with full-stack software development, including RESTFul APIs, Node.js, JavaScript, or React
Experience with tools like MATLAB, STK, ModelCenter, or TeamCenter
Possession of excellent verbal and written communication skills
Master’s degree in Engineering or Science and Technology Modeling Language Certification such as UML or SysML
OMG Certified Systems Modelling Professional (OCSMP) Certification
INCOSE Systems Engineering Professional Certification such as CSEP or ASEP Certification

Responsibilities

Contribute to the development of the next generation of systems engineering, integrating human-in-the-loop processes and quality guardrails to ensure reliable outcomes.
Leverage script-based and low or no-code automation or AI tools to streamline and enhance workflows across engineering functions.
Apply leading-edge principles, theories, and concepts to provide innovative solutions.
Work independently while collaborating effectively with interdisciplinary teams and stakeholders.
Implement systems engineering approaches to support full lifecycle engineering and product development.
Seek mentorship from senior engineers to accelerate growth.