Automation Engineer - Manufacturing Analytics & IoT

Prattwhitney; Asheville (NC); On-site; USD 87,000 - 165,000; Full time

Benefits offered by this job

Medical, dental, vision and life

401(k) match

Paid time off

Flexible spending accounts

Employee Scholar Program

Job summary

Pratt & Whitney, part of RTX, seeks an experienced Automation/Data Analytics engineer to deploy manufacturing automation and analyze machine performance data at the Asheville site. You will collaborate with production, engineering, quality, and supply chain teams to ensure operational efficiency and reliability of automation solutions.

The role emphasizes visualization, KPI monitoring (OEE, cycle time, throughput), and staying current with Industry 4.0 trends.

Qualifications

• Bachelor’s degree in engineering or related field with 5+ years of relevant experience.
• Advanced degree with 5+ years of related experience.
• Experience in manufacturing/industrial environment, with automation and manual assembly operations.
• Familiarity with data visualization tools.
• Knowledge of MES, ERP, and SCADA systems.
• Experience with SQL, Power BI, Ignition and Python or equivalent.

Responsibilities

• Assure Operational readiness for deployment of Automation Solutions.
• Documentation of Automation solutions for training.
• Provide solutions for visual factory install for Automation Solutions from feedback from customer.
• Collaborate with cross-functional teams to address data-driven challenges and opportunities.
• Work with automation systems to extract and analyze machine performance data.
• Develop and maintain dashboards and reports to monitor KPIs like cycle time, throughput, downtime and OEE.

Skills

Automation experience

Data analysis

Cross-functional collaboration

Lean manufacturing principles

Communication skills

Education

Bachelor’s degree in engineering

Advanced Engineering degree

Tools

SQL

Power BI

Ignition

Python

Job description

Pratt & Whitney, part of RTX, seeks an experienced Automation/Data Analytics engineer to deploy manufacturing automation and analyze machine performance data at the Asheville site. You will collaborate with production, engineering, quality, and supply chain teams to ensure operational efficiency and reliability of automation solutions.

The role emphasizes visualization, KPI monitoring (OEE, cycle time, throughput), and staying current with Industry 4.0 trends.