Join our team at Grand Canyon National Park! Are you enthusiastic about hospitality, people, and beautiful places? By working at Grand Canyon National Park, you will get all three! No matter what your jobs is, you will be a proud steward of the park and play an essential role in providing warm and friendly hospitality to our guests! As one of the Seven Natural Wonders of the World, The Grand Canyon National Park is a place of remarkable beauty, peace, scenic grandeur and top notch hospitality.
Employment Type: Full-time, Year-Round
Salary: Starting at $19.00/hr.
Job Summary:
Safe and efficient maintenance of Bright Angel and South Kaibab Trails. Supervision of the crew sent to accomplish that maintenance.
As our employee, you receive extremely affordable employee housing, discounted meals, employee discounts to explore other Xanterra properties and a generous benefits program for eligible employees. By working with Xanterra Travel Collection among the beauty of Grand Canyon National Park, this is your change to Live, Work, and Explore in one of the most beautiful places on Earth!
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Shift: 1st Shift (United States of America). Travel Required: Yes, 10% of the Time. Relocation Assistance: Relocation assistance may be available.
The Associate Program Director, Software Development in Radiology Workflow Solutions is a member of the program management team responsible for the Product
Rotating Schedule: 2 days ON, 2 days OFF, 3 days ON, 2 days OFF. You will assemble and inspect product to ensure the highest quality product is provided to our
Completing required documentation using an electronic health record system. Providing transportation using system vehicle when required by the program.
The Assistant Vice President (AVP) Inventive Scientist is responsible for directing, planning and apportioning the work of a team of Data Science and