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Predictive Maintenance Jobs (NOW HIRING)

Amrize

Predictive Maintenance Specialist

Florence, CO

$21.25 - $29/hr

We're seeking a Predictive Maintenance Specialist who's ready to put your skills to work on projects that matter - and build a career with a company that's building North America. Job Title:

Amrize

Predictive Maintenance Specialist

Chicago, IL · On-site

$21.50 - $29.50/hr

We're seeking a Predictive Maintenance Specialist who's ready to put your skills to work on projects that matter - and build a career with a company that's building North America. Job Title:

Amrize

Predictive Maintenance Specialist

Hagerstown, MD · On-site

$20.50 - $28.25/hr

We're seeking a Predictive Maintenance Specialist who's ready to put your skills to work on projects that matter - and build a career with a company that's building North America. Job Title:

Amrize

Predictive Maintenance Specialist

Florence, CO · On-site

$21.25 - $29/hr

We're seeking a Predictive Maintenance Specialist who's ready to put your skills to work on projects that matter - and build a career with a company that's building North America. Job Title:

Conagra Brands

Predictive Maintenance Tech

Darien, WI

$29.33/hr

Shift: 6:00 AM-6:00 PM Hourly 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 ...

Agropur

Predictive Maintenance Technician

Jerome, ID · On-site

$16.75 - $23/hr

The Predictive Maintenance Technician I is responsible for executing the plant's Predictive Maintenance program; including collection and analysis of vibration, ultra sound, and thermographic ...

PacifiCorp

Predictive Maintenance Specialist

Glenrock, WY · On-site

$20 - $27.50/hr

Incorporate Predictive Maintenance information into routine planning and scheduling work process flow. * Participate in onsite equipment inspections and factory disassembly inspections to help ...

JLL

Predictive Maintenance technician

San Diego, CA

$19 - $26.25/hr

Predictive Maintenance Technician - JLL What this job involves: The Predictive Maintenance Technician is an entry-level technical role designed for individuals eager to build a career in advanced ...

CONAGRA

Predictive Maintenance Tech

Darien, WI

$29.33/hr

Shift: 6:00 AM-6:00 PM Hourly 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 ...

PacifiCorp

Predictive Maintenance Specialist

Glenrock, WY

$20 - $27.50/hr

Incorporate Predictive Maintenance information into routine planning and scheduling work process flow. * Participate in onsite equipment inspections and factory disassembly inspections to help ...

PacifiCorp

Predictive Maintenance Specialist

Glenrock, WY · On-site

$20 - $27.50/hr

Incorporate Predictive Maintenance information into routine planning and scheduling work process flow. * Participate in onsite equipment inspections and factory disassembly inspections to help ...

Kraft Heinz

Predictive Maintenance Technician

Garland, TX

$17.50 - $24/hr

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 ...

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Predictive Maintenance information

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How much do predictive maintenance jobs pay per hour?

As of Jun 11, 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.

Will maintenance techs be replaced by AI?

Predictive maintenance technicians use data analysis, sensors, and diagnostic tools to predict equipment failures and schedule repairs. While AI can automate certain tasks like data processing and fault detection, human technicians are essential for complex troubleshooting, decision-making, and hands-on repairs. AI is expected to augment rather than fully replace maintenance techs in the foreseeable future.

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 does predictive maintenance do?

Predictive maintenance involves monitoring equipment using sensors and data analysis to predict when maintenance is needed, reducing downtime and preventing failures. It often requires skills in data analysis, machine learning, and familiarity with maintenance management tools. This approach helps optimize maintenance schedules and improve operational efficiency.

What jobs will be left by 2030?

Predictive maintenance jobs are expected to grow as industries adopt advanced analytics, IoT sensors, and automation to prevent equipment failures. Roles such as maintenance technicians, data analysts, and systems engineers will remain essential, though they will increasingly require skills in data interpretation, programming, and familiarity with predictive tools. Some manual maintenance tasks may decrease as automation takes over routine inspections.

What is a Predictive Maintenance job?

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.

What's the highest paid maintenance job?

In maintenance roles, senior industrial maintenance managers and reliability engineers tend to have the highest salaries, often exceeding $100,000 annually. These positions require advanced technical skills, certifications, and experience in predictive maintenance, equipment troubleshooting, and data analysis.
More about Predictive Maintenance jobs
What cities are hiring for Predictive Maintenance jobs? Cities with the most Predictive Maintenance job openings:
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Predictive Maintenance jobs near you
Infographic showing various Predictive Maintenance job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $65,662 per year, or $31.6 per hour.
Analyst, Predictive Maintenance

Analyst, Predictive Maintenance

Enterprise Products

Houston, TX • On-site

$65K - $84K/yr

Other

This job post has expired today. Applications are no longer accepted.

Enterprise Products rating

9.3

Company rating: 9.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

1st of 50 rated energy and utility

Job description

Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals. Our services include natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems. The partnership's assets include approximately 50,000 miles of pipelines; 260 million barrels of storage capacity for NGLs, crude oil, refined products and petrochemicals; and 14 billion cubic feet of natural gas storage capacity.   

The Predictive Maintenance Analyst is responsible for monitoring and diagnosing equipment performance using advanced predictive analytics software. This role supports operational reliability by identifying emerging equipment issues before failure, triaging anomalies, and engaging subject matter experts across corporate and field teams to resolve reliability concerns. This position offers a unique opportunity to apply analytical and collaboration skills within a complex midstream oil and gas environment, directly contributing to improved equipment uptime, reliability, and performance.

Responsibilities include, but are not limited to:

  •   Monitor and analyze plant equipment performance using predictive analytics platforms such as Seeq, GE Vernova, and Aspen Mtell.

  •   Identify and diagnose anomalies, trends, and patterns in operational data to assess equipment health.

  •   Evaluate and triage predictive alerts, documenting probable causes, severity, and recommended next steps.

  •   Communicate and collaborate with corporate and field subject matter experts (SMEs) and field operations personnel to address identified reliability ussies.

  •   Develop and maintain dashboards and reports to track equipment condition trends and predictive analytics performance. 

  •   Contribute to the continuous improvement of predictive maintenance methodologies, data quality, and anomaly detection strategies.

  •   Support digital transformation initiatives by integrating predictive maintenance insights into reliability and operational workflows.

  •   Ensure consistent documentation and communication of predictive findings to enhance organizational learning and asset reliability.

The successful candidate will meet the following qualifications:

  • 5-10 years of experience in equipment condition monitoring, reliability, or predictive maintenance within oil & gas or similar heavy industrial environments.

  • Strong knowledge of rotating equipment such as centrifugal and reciprocating compressors, pumps, internal combustion engines, gas turbines, and motors.

  • Working knowledge of process and instrumentation systems and how they relate to equipment performance.

  • Hands-on experience with predictive analytics or asset performance monitoring software (Seeq, GE Vernova, Aspen Mtell preferred).

  • Analytical mindset with the ability to translate data trends into actionable reliability insights.

  • Excellent communication and documentation skills; able to engage with both technical and operational stakeholders.

  • Knowledge of plant operations and maintenance.

  • Mechanical, process controls, or technical education background preferred. (degree not required).

  • Preferred certifications:

    • Certified Maintenance & Reliability Professional (CMRP)

    • Vibration Analysis (ISO 18436-2 Category 1 or higher)

    • Certified Reliability Analyst or Predictive Maintenance Specialist

    • Other relevant condition monitoring or reliability-based credentials

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