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Predictive Maintenance Jobs (NOW HIRING)

ConAgra Foods, Lamb Weston

Predictive Maintenance Tech

Darien, WI · On-site

$29.33/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Shift: 6:00 AM-6:00 PMHourly Rate: $29.33 an hour At the Dairen plant we are hiring for Predictive Maintenance Tech. This will be onsite in Dairen Wi. This will be a 1st shift position. Rotating 12 ...

Kraft Heinz

Predictive Maintenance Technician

Garland, TX

$17.50 - $24/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Under the direction of Maintenance leadership, this position will organize and execute all aspects of the plant's Predictive Maintenance (PdM) needs using various predictive technologies and ...

Koch Industries

Predictive Maintenance Specialist

Brewton, AL · On-site

$16.50 - $22.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

One component of Asset Health we will be looking to revolutionize is the way GP approaches vibration monitoring and predictive maintenance across our sites. This individual will be leading the way by ...

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How much do predictive maintenance jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for predictive maintenance in the United States is $31.57, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $38.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the predictive maintenance position, and why are they important?

To thrive in Predictive Maintenance, you need a strong analytical background, knowledge of machinery and engineering principles, and typically a degree in engineering or a related technical field. Familiarity with condition monitoring tools, data analytics platforms (such as Python, R, or specialized CMMS software), and certifications like Certified Maintenance & Reliability Professional (CMRP) are advantageous. Exceptional problem-solving, attention to detail, and communication skills help you excel when interpreting data and coordinating with cross-functional teams. These skills are crucial for effectively anticipating equipment failures, minimizing downtime, and optimizing maintenance schedules.

What is the role of predictive maintenance?

Predictive maintenance is a job role focused on analyzing data from equipment and machinery to predict failures before they occur. It involves using sensors, data analysis, and machine learning tools to schedule maintenance proactively, reducing downtime and maintenance costs. Professionals in this field often require knowledge of industrial systems, data analysis, and relevant software platforms.

What are the typical day-to-day responsibilities of someone working in predictive maintenance?

In a Predictive Maintenance role, your daily tasks often include monitoring equipment data, analyzing trends to detect early signs of wear or malfunction, and preparing maintenance reports or recommendations. You’ll collaborate closely with maintenance technicians, engineers, and sometimes production staff to ensure that issues are addressed before they escalate. Regularly scheduling inspections, maintaining accurate records, and updating maintenance management systems are key parts of the job. This proactive approach helps organizations improve equipment reliability, reduce unexpected breakdowns, and operate more efficiently.

What is predictive maintenance?

A Predictive Maintenance job involves using data analysis, machine learning, and IoT sensors to monitor equipment and predict failures before they happen. Professionals in this role collect and analyze data from machines to identify patterns that indicate potential issues. They work to reduce downtime, optimize maintenance schedules, and improve overall operational efficiency. This role often requires expertise in data science, reliability engineering, and condition monitoring techniques.

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Predictive Maintenance jobs near you
Infographic showing various Predictive Maintenance job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $65,662 per year, or $31.6 per hour.

Predictive Maintenance Specialist

Advanced Technology Services

Pontiac, IL • On-site

$19.25 - $26.50/hr

Full-time

Posted 17 days ago

Advanced Technology Services rating

8.1

Company rating: 8.1 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

68th of 278 rated repair and maintenance companies

Job description

Summary:

Under minimal supervision, applies advanced internal predictive maintenance capabilities at our customer factory sites. Performs a combination of technical (hands-on) and computer based data analysis of findings from all predictive technologies. Provides high level support of current predictive processes and procedures related to Ultrasound, Infrared Thermography, and Vibration principles.

Principal Duties/Responsibilities:

Performs expert-level data collection, analysis, and report generation for predictive maintenance activities using technologies such as thermal imaging, ultrasound assessments, vibration analysis, and oil analysis.

Develops implementation plans and schedules to apply predictive maintenance techniques at our factory sites.

Implements, coordinates and monitors the application of preventive and predictive maintenance procedures.

Evaluates effectiveness of predictive maintenance procedures and makes adjustments as necessary to increase the value of our offerings.

Develops cooperative maintenance plans, root cause analysis, and recommends processes improvements.

Works with Site Managers and Planners to develop the basis of a reliability maintenance program.

Creates professional reports and detailed training manuals.

Provides on-site high level training for ATS technicians in all principles of Predictive Maintenance, Ultrasound - Airborne and Structural, Infrared Thermographic Imaging for both electrical and mechanical, and Vibration data collection.

Responds to common inquiries or complaints from customers. Effectively presents information to top management and customers.

Travels approximately 30% of the time.

Knowledge, Skills, Abilities (KSAs), & Competencies:

Essential KSAs:

Associate's degree (A. A.) or equivalent from two-year college or technical school; or completion of a four-year apprenticeship program in electrical/electronic technology, mechanical technology, or manufacturing technology; or combination of partial completion of education and a minimum of 5 years' experience.

Electrical/electronic specialty: 5 years of experience troubleshooting and maintaining factory floor equipment with emphasis on electrical/electronic systems. Must be proficient with basic mechanical/hydraulic concepts related to machine tools and must have an excellent understanding of machine diagnostics.

Mechanical specialty: 5 years of experience in vibration analysis or laser operations, machine alignments, and general machine tool maintenance. Must be proficient in troubleshooting complex mechanical, hydraulic, and pneumatic equipment and have good knowledge of electric basic circuits.

ISO CAT II certification in Vibration. Level I Thermo/Infrared and Ultrasound.

Desirable KSAs:

ISO CAT I certification in Lubrication/Oil Analysis.

ISO CAT III certification in Vibration.

Competencies:

Safety

Customer Focus

Communications

Physical Demands and Working Conditions:

While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors.

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