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Data Intelligence, LLC Tech Stack

Defense systems engineering and C5ISR software for U.S. military branches

Technology, Information and Internet Marlton, NJ 51–200 employees Founded 2005 Privately Held
di-llc.com LinkedIn

Data Intelligence builds mission-critical software and systems engineering solutions for the Department of Defense and federal intelligence agencies. The tech stack—Kubernetes, Docker, Python, C++, MATLAB, and defense-specific tools like IBM DOORS and ArcGIS—reflects a mature systems integrator handling both containerized modernization and legacy tactical weapons systems. All 10 open engineering roles skew senior and mid-level, signaling focused hiring around Navy Aegis weapons system integration and CI/CD pipeline work rather than headcount ramp.

Tech Stack 59 technologies

Core StackKubernetes Podman Docker Python Prometheus Grafana C++ MATLAB Jira JUnit ArcGIS Java VMware Docker Compose Bash Eclipse ClearCase xUnit.NET ACAS Socet GXP IBM DOORS C/C++ Artifactory UML xUnit Unix SysML Citrix NetApp Nutanix+29 more

What Data Intelligence, LLC Is Building

◆Challenges

  • Maintaining secure containerized infrastructure
  • Ensuring compliance with dod cybersecurity policies
  • Tracking vulnerabilities and mitigating discrepancies
  • Maintaining production systems on rdt&e network
  • Integrating advanced u.s. navy tactical systems
  • Maintaining mission-critical defense systems

▲Active Projects

  • Advanced u.s. navy tactical systems integration
  • System performance modeling and analysis
  • Aegis weapons system support
  • Ci/cd pipeline development
  • Cloud-native virtualization initiatives
  • Integration of cots and gots software
  • Development of plans of actions and milestones (poa&ms)
  • U.s. navy aegis weapons system development
  • Automation tools for diagnostics and regression testing
  • Mission-critical u.s. navy tactical systems

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Engineering
10

Seniority

Senior
5
Mid
4
Junior
1
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About Data Intelligence, LLC

Data Intelligence, LLC is a systems engineering and software development firm founded in 2005, serving the Department of Defense, Intelligence Community, and federal civilian agencies. The company operates from six offices across the U.S.—Marlton NJ (headquarters), Philadelphia PA, San Diego CA, Aberdeen Proving Ground MD, Dayton OH, and Virginia Beach VA—and holds multiple prime contracts with the U.S. Navy, Army, Air Force, Coast Guard, National Geospatial-Intelligence Agency, and Defense Logistics Agency. Core competencies span cybersecurity, IT solutions, full lifecycle systems development, C5ISR integration, and logistics management. The organization employs over 100 full-time staff and partners with other defense contractors on complex, multi-year programs.

HeadquartersMarlton, NJ
Company Size51–200 employees
Founded2005
Hiring MarketsUnited States

Frequently Asked Questions

What does Data Intelligence, LLC work on?

Advanced U.S. Navy tactical systems integration, Aegis weapons system support and development, CI/CD pipeline modernization, cloud-native virtualization, and mission-critical C5ISR system maintenance for multiple military branches and intelligence agencies.

What tech stack does Data Intelligence use?

Kubernetes, Docker, Podman, Python, C++, MATLAB, Prometheus, Grafana, IBM DOORS, ArcGIS, Jira, ClearCase, VMware, Citrix, and NetApp—a mix of cloud-native and legacy defense-specific engineering tools.

Where is Data Intelligence, LLC headquartered?

Marlton, New Jersey, with additional offices in Philadelphia PA, San Diego CA, Aberdeen Proving Ground MD, Dayton OH, and Virginia Beach VA.

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How this profile is built

Data Intelligence, LLC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.