Federal contractor for environmental science, compliance, and disaster response
CSS is a 201–500-person federal contractor (founded 1988) serving 20+ agencies with environmental assessment, geospatial analysis, and emergency response work. The tech stack reveals a hybrid science-engineering operation: heavy use of ArcGIS, QGIS, and ERDAS Imagine for geospatial workflows, combined with lab instrumentation (GC/MS, LIMS, Agilent) and AWS compute (Lambda, Step Functions, CloudFormation) for automation and cloud deployment. Hiring is research-heavy (7 roles) with accelerating velocity, and active projects span predictive mapping, habitat modeling, and coastal zone management—signaling a push toward data-driven environmental planning and policy support.
Notable leadership hires: Party Chief
CSS applies science and technology to environmental consulting, regulatory compliance, and emergency response for federal agencies and state/regional clients. The company manages projects ranging from rapid-response tasks to multi-year, multi-agency programs involving complex geospatial datasets, environmental assessments, and predictive modeling. Services span environmental health and safety, natural resources management, transportation safety, and disaster recovery. CSS operates from Fairfax, Virginia, and is structured around research, operations, and engineering disciplines to deliver both field-based and analytical work.
ArcGIS, ArcGIS Pro, QGIS, ERDAS Imagine, and Global Mapper for mapping and analysis. Also uses Trimble GNSS for field positioning and Agisoft Metashape for 3D modeling.
Yes. Stack includes AWS Lambda, AWS Step Functions, IAM, and CloudFormation, indicating cloud-based automation and infrastructure-as-code practices.
CSS'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.