Production Team Member: Safe, Efficient Manufacturing

Cabinetworks Group; Mount Union (Huntingdon County); On-site; USD 23,419 - 27,552; Full time

Benefits offered by this job

Pay starts at $17.72

$0.50 shift differential for 3rd shift

Weekly Pay

Paid Holidays at hire

Paid vacation at hire

Access to earnings as needed on adaily

Company/employee paid medical benefits

Company paid STD, Life Insurance, and

EAP

401k match at $0.50/$1.00 up to 7%

Disounts on cabinets

Job summary

Cabinetworks Group is seeking Production Team Members to support safe, efficient operations in an assigned department. You will participate in safety programs, attend daily meetings, and adapt to changing production demands in a fast-paced environment.

We value flexibility and a teamwork-driven approach as you contribute to quality standards and overall plant performance. Competitive pay, shift differentials, and comprehensive benefits accompany a role with opportunities across multiple

Qualifications

• Participate in safety programs and daily production meetings.
• Adhere to production demands and quality standards.
• Demonstrate flexibility to handle varied tasks within the department.
• Contribute to safe, efficient production operations.

Responsibilities

• Support safe, efficient production operations within assigned department.
• Engage in safety programs, daily meetings, and follow production directives.

Skills

Safety programs participation

Daily meetings participation

Adaptability / flexibility

Adherence to production demands

Job description

Cabinetworks Group is seeking Production Team Members to support safe, efficient operations in an assigned department. You will participate in safety programs, attend daily meetings, and adapt to changing production demands in a fast-paced environment.

We value flexibility and a teamwork-driven approach as you contribute to quality standards and overall plant performance. Competitive pay, shift differentials, and comprehensive benefits accompany a role with opportunities across multiple