Engineering, construction and maintenance for power and industrial plants
Zachry Group delivers engineering, construction, maintenance and turnaround work for energy, chemicals and power facilities. Its stack pairs plant design tools (SmartPlant 3D, AVEVA E3D, PDMS, Plant 3D) with Primavera P6, Aconex and Procore for project controls, while DocuSign and Adobe Sign adoption points to digitizing contracts. Hiring skews toward senior engineering and construction talent around combined cycle and new power plant builds, though overall velocity is slowing.
Notable leadership hires: Director of Engineering, Project Director
Zachry Group is a privately held engineering and construction company headquartered in San Antonio, TX, with more than 10,000 employees. It provides turnkey engineering, procurement, construction, fabrication, maintenance and turnaround services. Its customers operate facilities in the energy, chemicals, power, manufacturing and industrial sectors. Specialty areas include EPC projects, nuclear work, sustainability solutions, digital project delivery, and analysis and simulation. Current hiring is focused within the United States.
Zachry Group uses SmartPlant 3D, AVEVA E3D, PDMS, Plant 3D, MicroStation, AutoCAD, Revit and Navisworks, plus STAAD.Pro, ETAP and Mathcad for engineering analysis.
Job posts point to combined cycle power generation projects, new power plant builds, power plant upgrades, advanced work packaging, and process hazard analysis reviews.
Yes. Engineering is its largest hiring area, followed closely by construction, with demand weighted toward senior and mid-level roles across the United States, though hiring pace is decelerating.
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Zachry Group'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.