Dempsey Uniform & Linen Supply

Dempsey Uniform & Linen Supply

Part-Time Dock Worker- Evenings

Highspire, PA · Part-time

Sponsorship not specified$20k-$25kDetected 13 days ago
LeadershipOSHA

About the role

  • Title: Part Time Dock Associate - Part-Time - Highspire, PA Dempsey Uniform & Linen Supply is seeking a Part-time Dock/Warehouse Associate to join our team in Highspire, PA.
  • This role involves loading and unloading trucks, maintaining a clean work environment, and assisting with inventory control.
  • Ideal for current students or those looking for an extra shift, this position offers up to 20-25 hours per week, including flexible late afternoon hours.

Responsibilities

  • Maintain a clean environment, organize products, and appropriately dispose of waste/trash.
  • Perform all assigned duties in a safe manner and in accordance with OSHA standards and directives.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with ADA requirements.

Requirements

  • Must be at least 16 years old.
  • Must have a highly reliable work/school performance record.
  • Must be able to start between 3pm-4pm with end time around 7pm. $ 16.65 starting payrate.

Compensation

  • $20k-$25k

Benefits

  • Our offering includes uniform services, restaurant linen services, towel services, medical linen services and facility services.
  • If you're ready to contribute to a dynamic team and enjoy the perks of a flexible part-time role, apply now for the Part-Time Afternoon Warehouse Dock Associate position in Highspire, PA!

Company info

  • Dempsey is committed to leveraging technologies that control our customers' costs and enhance their service experience.
  • Through five strategic acquisitions, a well-developed management team, and excellent banking relationships, Dempsey has welcomed hundreds of new customers and enhanced existing customer relationships.

This listing is sourced directly from Dempsey Uniform & Linen Supply's careers page and normalized into a canonical job model.