Commercial electrical contractor for complex, sustainable building projects
EIG Electrical Systems delivers electrical, low voltage and solar scopes for commercial builds nationwide. Its stack pairs Revit, Navisworks and the Autodesk BIM 360 suite with Procore, Oracle Primavera and Prolog, pointing to a model-driven, prefab-oriented contractor. Accelerating, senior-weighted hiring across engineering and construction lines up with active work on EV charging, battery storage and BIM-to-field integration.
EIG Electrical Systems is a privately held commercial electrical contractor headquartered in Redwood City, California, founded in 2015 and part of the DPR family of companies. It supports projects from preconstruction budgeting and modeling through prefabrication, procurement, scheduling and field execution. Scopes include electrical, low voltage/telecom and solar work on new builds, remodels and tenant improvements. Core markets are advanced technology, life sciences, healthcare, higher education and commercial. The company employs 201–500 people and hires across the United States.
EIG runs Revit, AutoCAD, Navisworks, Autodesk BIM 360 and Autodesk Construction Cloud for design, plus Procore, Oracle Primavera, Prolog, Bluebeam, Smartsheet and Power BI for project controls.
Yes. Hiring is accelerating across the United States, concentrated in engineering and construction roles and weighted toward senior and mid-level talent.
Job posts point to EV charging infrastructure, battery storage, commissioning and start-up, and BIM work including clash detection, 3D/4D coordination and model-based fabrication.
Other companies in the same industry, closest in size
EIG Electrical Systems'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.