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Predictive Maintenance Jobs in Houston, TX (NOW HIRING)

Direct responsibility for performing and overseeing the predictive and preventive maintenance on equipment on CMMS system and all maintenance activities in the organization, will collaborate with ...

... predictive maintenance programs to improve equipment uptime and reliability Support controls systems, including PLC logic, HMIs, sensors, drives, automation systems, and equipment controls Lead ...

Preventive and Predictive Maintenance * Develop and implement preventive and predictive maintenance programs for existing equipment based on manufacturer recommendations or best engineering practices.

Maintenance Technician

Houston, TX · On-site

$20 - $28/hr

... predictive maintenance; resolving safety concerns; performing indoor and outdoor housekeeping; monitoring inventory supplies and maintaining maintenance records. Skills/Qualifications Required * 3+ ...

Develop and implement preventive and predictive maintenance schedules. Monitor equipment performance and condition using advanced techniques such as vibration analysis and thermal imaging. · ...

This role uses tools like vibration analysis, thermography, and ultrasonic testing to monitor mechanical and electrical systems, requiring at least 3 years of hands-on predictive maintenance ...

This role uses thermal imaging cameras and predictive maintenance tools to inspect panels, transformers, and switchgear for electrical faults and safety hazards, requiring at least 3 years of hands ...

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Predictive Maintenance information

See Houston, TX salary details

$11

$30

$53

How much do predictive maintenance jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for predictive maintenance in Houston, TX is $30.15, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $36.49 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.

What are the most commonly searched types of Predictive Maintenance jobs in Houston, TX? The most popular types of Predictive Maintenance jobs in Houston, TX are:
What job categories do people searching Predictive Maintenance jobs in Houston, TX look for? The top searched job categories for Predictive Maintenance jobs in Houston, TX are:
What cities near Houston, TX are hiring for Predictive Maintenance jobs? Cities near Houston, TX with the most Predictive Maintenance job openings:
Infographic showing various Predictive Maintenance job openings in Houston, TX 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 $62,706 per year, or $30.1 per hour.

Analyst, Predictive Maintenance

Enterprise Products Partners L.P.

Houston, TX • On-site

$65K - $84K/yr

Other

Re-posted 26 days ago


Enterprise Products rating

9.1

Company rating: 9.1 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

2nd of 53 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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