Employee-owned civil engineering, surveying and water infrastructure firm
Civil Science is a Lehi, Utah civil engineering and surveying firm whose stack pairs Bentley tools (MicroStation, OpenRoads, ProjectWise) with Autodesk Civil 3D and Revit, a dual-CAD setup typical of firms serving public agencies with differing standards. Hiring is accelerating and engineering-dominated, weighted toward senior and manager roles, with a new Idaho public works division and water practice growth driving demand.
Notable leadership hires: Survey Crew Chief
Civil Science is a full-service civil engineering firm headquartered in Lehi, Utah, with roots tracing to 1978 and full employee ownership. It employs 51–200 people, including professional engineers, licensed surveyors, planners and technicians. The firm serves public sector and private clients across multiple states. Its disciplines include water resources and hydropower, storm drainage, municipal support, structures, land development, construction management, and surveying, mapping and GIS.
Civil Science uses AutoCAD Civil 3D, Bentley MicroStation, OpenRoads, ProjectWise, Revit, Trimble Business Center, Bluebeam, GIS and SolidWorks, plus Asana, Zoom and Greenhouse for operations and recruiting.
Yes. Hiring is accelerating and concentrated in engineering, with some construction roles, spanning senior, manager, lead, junior and intern levels in the United States, including a Survey Crew Chief role.
Job posts point to water source development, transmission pipelines, distribution improvements, hydraulic modeling and master planning, municipal infrastructure, transportation design and building an Idaho public works division.
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Civil Science'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.