SNP ITE

SNP ITE

Certified Nursing Assistant (CNA) 2p-10p

Dallas, TX · Full-time

Sponsorship not specifiedDetected 30 days ago

About the role

  • Golden Acres Living Come join our team and start making a difference!
  • We're currently hiring full-time Evening Certified Nursing Assistants (CNAs) for our skilled nursing facility.
  • Our facility's success is dependent upon our highly motivated clinical professionals working to improve business operations.

Requirements

  • Texas CNA License is required
  • Ability to work well in a team
  • Passion for helping people
  • Benefits:
  • Health/Dental/Vision/Disability/Life Insurance/ 401K + more
  • Employee Discounts on Cell Phone service, Hotels, Movie Tickets, etc.
  • Opportunities for growth!
  • Uniform Reimbursement
  • 8-hour shifts
  • Golden Acres Living and Rehabilitation's commitment to excellence extends beyond delivering world class health care. Our company mission is to dignify and transform post-acute care. Our facility's success is dependent upon our highly motivated clinical professionals working to improve business operations.
  • Are you a CNA who is eager to make a difference? We're looking for exceptional professionals to join our team, so if you're looking to make a change to work at a truly remarkable place, we encourage you to apply.
  • Golden Acres Living and Rehabilitation Center

Benefits

  • eligibility for some benefits dependent on full time employment status.
  • Golden Acres Living and Rehabilitation's commitment to excellence extends beyond delivering world class health care.
  • For benefit details check us out here http://ensignbenefits.com/
  • EOE disability veteran
  • $1,000 Sign-on Bonus for all new full-time hires!

Company info

  • Are you a CNA who is eager to make a difference?
  • We're looking for exceptional professionals to join our team, so if you're looking to make a change to work at a truly remarkable place, we encourage you to apply.

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