Data visualization and analytics platform for intelligence and federal customers
ClearEdge is a 51–200-person engineering services firm built from the Intelligence Community, focused on data visualization, analytics, and cloud infrastructure. The tech stack (Python, Django, Kubernetes, Apache NiFi, PySpark) reflects heavy data-pipeline and distributed-systems work; hiring is engineering-heavy (19 of 23 open roles, mostly senior/principal level) and concentrated in the US, suggesting deep domain expertise and security-clearance requirements rather than rapid generalist scaling.
ClearEdge delivers software engineering and data analytics solutions to federal and intelligence-sector clients. Founded in 2002 and headquartered in Jessup, Maryland, the company specializes in big-data platforms, cloud infrastructure (AWS, Kubernetes), data visualization components, and modernization of legacy systems. Current project work centers on building web-based visualization systems, automating operational data flows, and upgrading critical applications to meet compliance and security requirements. The organization is structured around small teams of senior engineers and domain experts, prioritizing depth of technical skill and client responsiveness over scale.
Python, Django, Kubernetes, Docker, Apache NiFi, PySpark, PostgreSQL, MongoDB, AWS, Terraform, React, Angular, and JavaScript. Infrastructure is managed with Ansible; projects tracked in Jira and GitLab.
Web-based audio/visual visualization components, modernization of legacy applications, data operations analytics platforms, automation and integration pipelines, and operational data flow systems. Projects emphasize secure, mission-critical systems and advanced data visualization capabilities.
Other companies in the same industry, closest in size
ClearEdge'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.