Forestry Equipment Operator — Field & Travel-Heavy Role

Markit! Forestry Management; Jackson (CA); On-site; USD 34,440 - 55,104; Full time

Benefits offered by this job

Health insurance

Paid holidays

Retirement with company match

Training for career advancement

Job summary

Markit! Forestry Management in Jackson, California is seeking a full-time forestry worker to operate heavy machinery and assist in various forestry projects. Ideal candidates will possess 1-3 years of experience in the forestry industry, especially in operating heavy machinery. Responsibilities include performing chainsaw operations and general forestry labor.

Competitive wages range from $25.00 to $40.00 hourly based on qualifications and experience. Benefits include health insurance, retirement with a company match, and opportunities for career training.

Qualifications

• Must have 1-3 years of experience in the forestry industry.
• Ability to perform strenuous outdoor work in various weather conditions.
• Must pass a pre-employment background check.

Responsibilities

• Operate heavy forestry equipment like Masticator and Skidder.
• Perform chainsaw felling operations.
• Manage and assist with road work and site clean-up.

Skills

Heavy machinery operation

Chainsaw operations

Teamwork

Communication skills

Leadership skills

Problem-solving

Education

Minimum 1-3 years experience in forestry

Valid driver’s license

Tools

Heavy forestry equipment

Smartphone or tablet

Job description

Markit! Forestry Management in Jackson, California is seeking a full-time forestry worker to operate heavy machinery and assist in various forestry projects. Ideal candidates will possess 1-3 years of experience in the forestry industry, especially in operating heavy machinery. Responsibilities include performing chainsaw operations and general forestry labor.

Competitive wages range from $25.00 to $40.00 hourly based on qualifications and experience. Benefits include health insurance, retirement with a company match, and opportunities for career training.