Systems engineering and cybersecurity contractor for intelligence agencies
Integrity Technology Consultants is a woman-owned federal contractor whose job posts center on NGA-related GEOINT systems, security authorization and enterprise integration work. The stack pairs a Python/Django/Flask application layer and TensorFlow/PyTorch document-processing tools (Apache Tika, PDFMiner) with on-prem infrastructure: Cisco, Juniper, Palo Alto Networks, Nutanix, VMware and Rubrik. Hiring is accelerating and skews senior, led by engineering and security.
Integrity Technology Consultants is a privately held, woman-owned small business founded in 2003 and headquartered in Odenton, Maryland. The firm supplies systems engineers, software engineers, cybersecurity specialists, enterprise architects, data scientists and acquisition professionals to national security customers, including NSA directorates, the Intelligence Community, the Department of Defense and other federal agencies. It employs 51–200 people and hires exclusively in the United States. Core service areas include systems lifecycle engineering, integration and testing, data modeling and information systems security.
Python, Django, Flask, MongoDB, MariaDB, Docker and AWS for applications, TensorFlow and PyTorch for ML, plus Cisco, Juniper, Palo Alto Networks, Nutanix, VMware, Rubrik, Ansible and Salt for infrastructure.
Job posts point to automating security evaluation and authorization, integrating major systems acquisitions, a GEOINT ontology framework, capacity planning and performance trade analysis for NGA systems.
Odenton, Maryland. The woman-owned company was founded in 2003, has 51–200 employees and hires only in the United States.
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Integrity Technology Consultants'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.