Digital Engineering Integration Engineer

Why Sabel Systems

Sabel Systems designs and delivers digital engineering ecosystems for DoW programs, enabling teams to connect data, systems, and personnel within secure, scalable environments. Our solutions empower programs to make faster decisions, close sustainment gaps, and meet the digital acquisition requirements.

Rather than simply proposing transformation, we implement and operate it at scale. Our method is clear: we orchestrate existing tools into a governing system of record, ensuring government ownership of infrastructure and traceable decisions. There’s no vendor lock, no proprietary baselines, and no need for ATO rebuilds during transitions.

Sabel Systems is redefining modern defense acquisition. If you seek to solve complex challenges at scale and want your work to directly accelerate military capability while reshaping the DoW’s approach to digital engineering, this is the place for you.

Complexity Simplified. Mission Amplified.

What You’ll Do

Digital Engineering Integration & Data Connectivity

• Develop and maintain workflows that connect Digital Engineering artifacts to Modeling & Simulation environments.
• Design automated processes for extracting, transforming, and synchronizing engineering data across multiple tools and repositories.
• Establish and manage data mappings between requirements, architectures, design models, simulations, and analytical products.
• Support the implementation of Digital Thread capabilities that enable traceability across engineering disciplines.
• Collaborate with customers and engineering teams to define data exchange requirements and integration strategies.

Modeling & Simulation Workflow Development

• Develop and optimize workflows that support model creation, execution, validation, and analysis activities.
• Enable reusable and scalable simulation processes through automation and workflow orchestration.
• Support integration of systems analysis, simulation, and visualization tools within enterprise Digital Engineering environments.
• Identify opportunities to reduce manual activities through automation and process standardization.
• Assist engineering teams in establishing repeatable modeling and simulation best practices.

Data Management & Automation

• Develop scripts, APIs, and automation solutions to facilitate data movement and tool interoperability.
• Support the exchange of information between engineering repositories, digital engineering platforms, simulation environments, and data analytics solutions.
• Implement methods for maintaining data integrity, consistency, and governance across connected systems.
• Assist in the development of reusable workflow templates and integration patterns.
• Support data-driven decision-making by ensuring accurate and timely access to engineering information.

Technical Leadership & Customer Engagement

• Serve as a trusted advisor to customers on Digital Engineering and Modeling & Simulation workflow implementation.
• Facilitate technical discussions, requirements workshops, and solution development sessions.
• Collaborate with software developers, systems engineers, architects, and program stakeholders to define and implement workflow solutions.
• Provide subject matter expertise for Digital Thread and Digital Twin initiatives.
• Support demonstrations, pilot projects, and customer training activities.

Documentation & Continuous Improvement

• Develop and maintain workflow documentation, process guides, interface specifications, and technical training materials.
• Capture lessons learned and contribute to organizational best practices for Digital Engineering implementation.
• Stay current on emerging Digital Engineering, MBSE, Modeling & Simulation, and interoperability standards.
• Recommend process improvements and innovative approaches to increase workflow efficiency and data usability.
• Support continuous improvement initiatives across Digital Engineering programs.