Regional CDL-A Driver: 2 On/2 Off, Home 3 Days

Doug Markworth Sr Insurance Agency; Allentown (Lehigh County); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Paid Time Off

Health insurance

Vision insurance

401(k)

Bonus opportunities

Overtime opportunities

Job summary

SHARP Fleet LLC is hiring Regional Class A CDL Drivers to support the Amazon Freight Partner program in Allentown, PA. You’ll enjoy a predictable 2 days on / 2 days off schedule, with 54+ hours weekly on a regional route, starting at $25/hour plus benefits and bonuses.

This W-2 role includes paid time off, health and vision insurance, and 401(k). You’ll operate sleeper-equipped trucks within ~500 miles of Allentown, perform pre/post inspections, and ensure accurate logs and loads while

Qualifications

• You must be at least 21 years old.
• Hold a valid Class A CDL.
• Have at least 6 months of Class A driving experience.
• No prior accidents that would disqualify you; clean MVR.
• Pass DOT physical, pre-employment drug screen, and background check.

Responsibilities

• Operate regional routes within approximately a 500-mile radius transporting Amazon freight.
• Haul 100% no-touch freight.
• Perform drop-and-hook operations.
• Complete pre-trip and post-trip vehicle inspections.
• Verify loads and documentation for accuracy; maintain driving logs per regulations.
• Use smartphone/app-based technology for pickups, deliveries, loads, and hours.

Skills

Class A CDL

6 months experience

English required

Safety compliance

Education

None

Tools

Smartphone/GPS navigation

Job description

SHARP Fleet LLC is hiring Regional Class A CDL Drivers to support the Amazon Freight Partner program in Allentown, PA. You’ll enjoy a predictable 2 days on / 2 days off schedule, with 54+ hours weekly on a regional route, starting at $25/hour plus benefits and bonuses.

This W-2 role includes paid time off, health and vision insurance, and 401(k). You’ll operate sleeper-equipped trucks within ~500 miles of Allentown, perform pre/post inspections, and ensure accurate logs and loads while