Senior Data and Network Engineer

MTSI is seeking a Senior Data and Network Engineer to provide Systems Engineering, Integration and Test (SEIT) support to the United States Space Force Mission Delta, which conducts Space Domain Awareness operations in the national security space environment. The role combines data analytics leadership with network engineering to advance SDA capabilities, architectures, and mission outcomes in a dynamic, government-focused environment.

Responsibilities

• Lead data analytics efforts aligned with leadership objectives and vision
• Oversee development and integration of data analytics and business intelligence tools to support squadron strategies and goals
• Participate in staff meetings to influence data capabilities and competencies within the squadron
• Collaborate with customers to refine analytical requirements in an iterative, agile process
• Research cutting-edge data science innovations (e.g., ML/AI) and adapt them for government environments
• Access data from multiple repositories via scripting or APIs to integrate data and present insights through data visualization tools
• Shape future architecture by analyzing mission data flows and generating visualizations to influence decision making
• Advise the innovation pipeline assessment team on AI utilization opportunities
• Mentor colleagues as needed
• Support the development, prototyping, modernization, testing, and evaluation of SDA networks infrastructure software and hardware
• Review and evaluate system technical specifications, designs, analyses, test plans/procedures, and technical data packages
• Provide systems engineering and integration support for SDA systems networks
• Develop network diagrams reflecting modernization efforts and added hardware
• Review and define system requirements
• Interface with other government organizations and development contractors to facilitate concept exploration and candidate system design

Requirements

• Required:

• 8+ years of relevant DoD/IC experience supporting acquisition, sustainment, operations, systems engineering, mission integration, or capability development environments

• Technologies: AWS, TensorFlow, PyTorch, Ray, SciKit-Learn, Git, JIRA, Tableau, Qlik, PostgreSQL, MongoDB, Docker, Kubernetes, MBSE

• Analytical skills: machine learning, predictive modeling, time series analysis, neural networks, clustering, data mining, statistical analysis, ETL/ELT, business intelligence, bias detection, algorithmic fairness

• Languages: Python, SQL, C++, MATLAB, VBA, C#, Java

• Experience with sensors and radar networks

• Experience with network constraint modeling

• Experience with sensor network analysis addressing data latency, decommissioning effects, and cyber impacts

• Experience leveraging Modeling & Simulation (MS&A) capabilities

• Design and manage networking solutions that integrate on-premises systems with cloud environments

• Experience supporting cross-functional teams across complex mission or system-of-systems environments

• Experience working with operators, engineers, technical SMEs, government civilians, military leaders, contractors, industry partners, and senior stakeholders

• Experience supporting technical exchanges, product demonstrations, discovery meetings, stakeholder syncs, or senior-leader engagements

• Ability to multitask, respond to quick-turn requests, and produce quality products with minimal oversight

• Experience presenting and communicating technical data to various audiences (government and leadership experience preferred)

• Excellent analytical and organizational skills with strong attention to detail and effective time/project management

• Desired:

• Experience as an A&AS or SETA contractor

• Knowledge of SDA architectures, systems, networks, interfaces, and data flows

• Experience working on-site in a government client environment

• Demonstrated experience using Atlassian Jira and Confluence

• Knowledge of system interface requirements and requirements management techniques to drive system behavior

• Networking experience with cloud systems, on-premises systems, Kubernetes, containers, and CI/CD

• Experience in network design and administration for classified and unclassified environments

• Deep understanding of cloud networking technologies (Azure, AWS, Nutanix, VMware, or similar platforms)

• Education:

• B.S. in engineering or another relevant technical discipline

• M.S. degree in a related STEM field (desired)

• Location: Colorado Springs, CO, USA