Predictive Maintenance Technician – Industrial Reliability

Eli Lilly and Company; Lebanon (IN); On-site; USD 46,686 - 68,480; Full time

Benefits offered by this job

401(k)

Pension

Medical insurance

Dental insurance

Vision insurance

Vacation

Life insurance

Job summary

Eli Lilly and Company in Lebanon, Indiana is seeking a Reliability Engineering Technician to support predictive maintenance and enhance equipment reliability. Candidates should have a High School Diploma or equivalent with at least 2 years of relevant trade experience. The position offers an hourly wage between $33.89 and $49.71, along with benefits like a company bonus and 401(k). Flexibility for off-hours support is required, and hands-on experience with condition monitoring technologies is preferred.

Qualifications

• At least 2 years of trade experience required.
• Working knowledge of rotating equipment and manufacturing assets.
• Applicants must be authorized to work in the United States on a full-time basis.

Responsibilities

• Execute predictive maintenance routes and analyze equipment condition data.
• Maintain accurate records of all predictive maintenance activities.
• Produce reports summarizing program performance and coordinate reliability work.

Skills

Hands-on experience with condition monitoring technologies

Experience with precision maintenance practices

Strong analytical skills

Proficiency in Microsoft Office Suite

Education

High School Diploma or equivalent

Associate degree from a Technical Vocational College

Tools

CMMS platforms

Data analysis tools

Job description

Eli Lilly and Company in Lebanon, Indiana is seeking a Reliability Engineering Technician to support predictive maintenance and enhance equipment reliability. Candidates should have a High School Diploma or equivalent with at least 2 years of relevant trade experience. The position offers an hourly wage between $33.89 and $49.71, along with benefits like a company bonus and 401(k). Flexibility for off-hours support is required, and hands-on experience with condition monitoring technologies is preferred.