Penske Truck Leasing

Penske Truck Leasing

Truck Driver - CDL Class A - Penske Logistics

Tully, NY, United States · Full-time

Sponsorship not specifiedDetected 1 day ago
Logistics

> stay_score

odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

> community_outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Immediate Opportunities: Full-time Local Class A CDL Truck Drivers • Average $98000 annually • Additional $3000 annual safety bonus • No NYC • Home daily • Driver referral bonus program up to $5000 per referral You will drive: • Late model, Penske Truck Leasing trucks • Best-in-class specs designed for comfort • Equipped with inward and outward facing
  • in-cab cameras helping to ensure safety for all What you will do: • Deliver palletized groceries to local stores • No pallet breakdowns • Maintain professional and courteous demeanor when interacting with customers • Home Daily Schedule: • Multiple schedules available • PM start time • $200 incentive for each additional day worked Comprehensive benefits

Responsibilities

  • Deliver palletized groceries to local stores
  • Best-in-class specs designed for comfort

Compensation

  • Average $98000 annually

Benefits

  • Additional $3000 annual safety bonus
  • Driver referral bonus program up to $5000 per referral
  • Paid vacation and holidays day one
  • Generous retirement benefits
  • Excellent health care coverage-medical, dental, and vision
  • Short and long-term disability; life and AD&D insurance

Company info

  • Maintain professional and courteous demeanor when interacting with customers

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