Process Engineer - Lead Capital Projects & Reliability

Jobot; Lancaster (Lancaster County); On-site; USD 70,000 - 110,000; Full time

Job summary

Jobot is seeking a Process Engineer to lead capital projects and drive reliability improvements across a manufacturing environment. You will partner with production and maintenance to optimize safety, quality, and productivity, while managing projects from concept through startup and commissioning.

The role requires hands-on collaboration with operations, strong analytical skills, and experience in driving continuous improvement initiatives to reduce variability and improve performance.

Qualifications

• Bachelor's degree in Mechanical or Electrical Engineering.
• 2–12+ years of manufacturing/process engineering experience.
• Authorization to work in the United States without sponsorship.
• Experience with capital projects and safety improvements.

Responsibilities

• Collaborate with production and maintenance to meet safety, quality, and productivity goals.
• Analyze processes to improve efficiency, throughput, and reliability.
• Lead root cause investigations and implement corrective actions.
• Provide data-driven support for process and equipment issues.
• Coordinate with engineering and procurement on project execution.
• Manage project scopes, budgets, timelines, and ROI analyses.

Skills

Process optimization

Continuous improvement

Data analysis

Root cause analysis

Cross-functional collaboration

Education

Bachelor's degree in Mechanical Engineering

Bachelor's degree in Electrical Engineering

Tools

AutoCAD

Excel

Job description

Jobot is seeking a Process Engineer to lead capital projects and drive reliability improvements across a manufacturing environment. You will partner with production and maintenance to optimize safety, quality, and productivity, while managing projects from concept through startup and commissioning.

The role requires hands-on collaboration with operations, strong analytical skills, and experience in driving continuous improvement initiatives to reduce variability and improve performance.