Industrial Process Engineer

Enterprise Peak; Town of Granville (NY); Remote; USD 70,000 - 90,000; Full time

Job summary

A manufacturing leader is seeking an Industrial Process Engineer to support projects by analyzing production data, correlating it with quality outcomes, and providing actionable insights. This role emphasizes strong data analytics and communication skills and requires experience in plant manufacturing environments. The position is primarily remote with occasional visits to the facility in Granville, NY, and is open to immediate interviews.

Qualifications

• Experience in plant-based manufacturing environments.
• Strong background in data analytics focused on process optimization.
• Ability to correlate data with quality and yield outcomes.

Responsibilities

• Support critical projects analyzing production and process data.
• Correlate process data with scrap and quality outcomes.
• Translate complex datasets into operational insights.

Skills

Data analytics

Manufacturing process optimization

Communication skills

Root cause analysis

Tools

Profibus PLC

Aveva Wonderware

QAD

NWA Quality

Job description

The Process Engineer will support a critical project and initiative with a leader in the industrial and material manufacturing industry which centers on analyzing production and process data to identify product-level drivers of yield loss and waste within a plant manufacturing environment. This person will work across automation, quality, and production systems to correlate process tag data with scrap and quality outcomes. The role requires strong manufacturing domain knowledge, advanced data analytics capability, and the ability to translate complex datasets into clear, actionable operational insights for plant leadership.

This is a long-term contract position that will be 100% remote with occasional onsite visits to the Granville, NY Facility.

WHO WE ARE LOOKING FOR

We are seeking an Industrial Process Engineer with strong experience in plant-based manufacturing environments and a data-driven approach to problem solving. The ideal candidate has a proven ability to analyze complex manufacturing and automation data to identify root causes of scrap, yield loss, and process variation at the product level. This individual is comfortable working across production, automation, and quality systems, translating large datasets into clear, actionable insights for plant and operational leadership. Strong communication skills and the ability to drive measurable process improvements in a collaborative manufacturing setting are essential.

We are interviewing qualified candidates immediately and will move efficiently through the hiring process. Please apply with an updated resume.

QUALIFICATIONS

• Process Engineer with experience in plant-based manufacturing environments.
• Strong data analytics background focused on process optimization, yield improvement, and scrap reduction.
• Demonstrated ability to correlate process tag data with quality, yield, and scrap outcomes.
• Experience working with manufacturing automation and data systems, including:
• Profibus PLC, Aveva Wonderware, QAD, and NWA Quality

Effective written and verbal communication skills are required. Candidates must be legally authorized to work in the United States. No sponsorship and no third parties.