Data Center Construction Project Engineer — On‑Site QC & Documentation

TensorWave

Las Vegas (NV)

On-site

USD 90,000 - 150,000

Full time

8 days ago

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Benefits offered by this job

Stock Options
Comprehensive medical insurance
Dental & Vision insurance"
HSA contributions
Disability insurance

Job summary

TensorWave is seeking a Construction Project Engineer (Data Center) to support the on-site Senior Project Manager and construction team. You will be the documentation and quality backbone, moving RFIs, tracking submittals, and ensuring field work aligns with design intent for a reliable AI compute facility.

The role focuses on coordinating RFI logs, shop drawings, and QC inspections, with execution that enables the AI infrastructure customers rely on.

Qualifications

  • Bachelor’s degree in Construction Management or related field.
  • 5+ years on large commercial/industrial construction projects.
  • Ability to read and interpret architectural, structural, mechanical, electrical, and plumbing drawings.
  • Experience with RFI and submittal workflows.
  • Strong written and verbal communication; organized and detail-oriented.

Responsibilities

  • Provide technical and administrative support to on-site Project Manager and team.
  • Manage RFI log and ensure timely responses.
  • Coordinate submittal and shop drawing reviews with engineers and architects.
  • Conduct QC inspections and document progress per plans.
  • Assist in preparation of RFQ documents for developers and contractors.

Skills

Reading drawings
RFI management
Submittal management
Quality control
Documentation

Education

Bachelor’s in CM/Engineering

Tools

Procore
Bluebeam Revu

Job description

TensorWave is seeking a Construction Project Engineer (Data Center) to support the on-site Senior Project Manager and construction team. You will be the documentation and quality backbone, moving RFIs, tracking submittals, and ensuring field work aligns with design intent for a reliable AI compute facility.

The role focuses on coordinating RFI logs, shop drawings, and QC inspections, with execution that enables the AI infrastructure customers rely on.

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