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Reliability Engineer

Job in Longview, Gregg County, Texas, 75606, USA
Listing for: Eastman
Full Time position Listed on 2026-11-09
Job specializations:
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR

Job Description & How to Apply Below

Founded in 1920, Eastman is a global specialty materials company that produces a broad range of products found in items people use every day. With the purpose of enhancing the quality of life in a material way, Eastman works with customers to deliver innovative products and solutions while maintaining a commitment to safety and sustainability. The company’s innovation-driven growth model takes advantage of world‑class technology platforms, deep customer engagement, and differentiated application development to grow its leading positions in attractive end markets such as transportation, building and construction, and consumables.

As a globally inclusive company, Eastman employs approximately 13,000 people around the world and serves customers in more than 100 countries. The company had 2025 revenue of approximately $8.8 billion and is headquartered in Kingsport, Tennessee, USA. For more information, visit  .

Note

Eastman will not accept applicants for this offered position who require visa sponsorship, including those whose status is F‑1 visa OPT who subsequently would require ongoing visa sponsorship.

Responsibilities

The position is located at Eastman’s Longview, TX manufacturing site. As a Reliability & Maintenance Engineer at Eastman, you will support efforts in our manufacturing plants to improve process and equipment reliability. You will be assigned to a specific area of the plant and work directly with Maintenance, Engineering and Operations to identify, prioritize, and execute improvement opportunities and to achieve reliability, failure elimination, and cost reduction goals.

Job

duties include, but are not limited to:
  • Partner closely with area operations and maintenance to improve equipment availability and process reliability reducing unplanned production losses
  • Lead projects that provide engineered solutions to complex problems that increase equipment and process reliability
  • Partner with area maintenance to target reliability and maintainability issues, reduce cost, and improve productivity
  • Provide support for plant outages and shutdowns as requested
  • Understand and utilize Lean Six Sigma tools for problem solving and risk elimination
  • Support initiatives in assigned area
  • Identify and prioritize opportunities for reliability improvements by mining information from SAP, reliability systems, and production logs
  • Lead and manage Root Cause Failure Analysis (RCFA) investigations
  • Manage FMEA analyses on critical production assets
  • Provide reliability input to capital projects as requested
  • Provide technical leadership at all levels of the plant organization with special emphasis on interfacing with maintenance crews
  • Guide problem solving teams to identify, design and implement improvements
  • Work safely and promote the Eastman safety vision
Qualifications
  • Bachelor of Science degree in Engineering required. Mechanical or Electrical Engineering highly preferred.
  • Must have at least 4 years of reliability engineering or related experience, including experience in a chemical, petrochemical, or other manufacturing environment is required. 5+ years preferred.
  • Experience with rotating equipment (pumps, turbines or compressor) and/or turbo machinery preferred
  • Strong basic engineering and reliability engineering skills, with the desire to learn advanced reliability engineering principles
  • Excellent verbal and written communication skills
  • Experience with root cause analysis (RCA) methodologies
  • Experience managing equipment preventive and predictive maintenance plan with asset management software (SAP preferred)
  • Knowledge of common process equipment (pumps, fans, agitators, motors, valves, instrumentation etc.)
  • Basic knowledge of electrical power distribution systems
  • Understanding of common predictive and diagnostic…
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