Timmonsgroup1

Timmonsgroup1

Civil Project Engineer - Federal/Public Safety Land Development

Wilmington, NC, United States

Work authorization requiredDetected 7 days ago
AutoCADResearchGISCivil 3D

About the role

  • Timmons Group is an Equal Opportunity/Affirmative Action employer.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected Veteran status.
  • Timmons Group is a full-service engineering and technology firm recognized nationally as a "Best Firm to Work For" by CE News.

Responsibilities

  • This team supports federal government and military clients with site plan design for administrative and operational facilities, maintenance yards and support buildings, training, research, or mission specific campuses, utility yards and secure facilities.
  • Design portions of a project using relevant office software, modeling and Civil 3D technology.
  • Work to complete design details and plan sets.
  • Perform research and writes objective summary reports which are used in the completion of the project work or inspection.
  • Communicate with client staff and internal design team as directed by senior engineering staff.

Requirements

  • A bachelors or master's degree in civil engineering or a closely related degree.
  • Entry Level candidates will be considered, but ideal candidates would have 2+ of experience in Land Development civil engineering.
  • Working knowledge AutoCAD Civil 3D required
  • Must be legally eligible to work in the Unites States without sponsorship now and in the future.

Company info

  • We are currently seeking Land Development Civil Project Engineers to join our Public Safety and Federal Government/Military Land Development Group in our Wilmington, NC office.

Visa & Work Authorization

  • Must be legally eligible to work in the Unites States without sponsorship now and in the future

This listing is sourced directly from Timmonsgroup1's careers page and normalized into a canonical job model.