Digital Solutions Engineer - Industrial Analytics Automation

Corning Incorporated

Reynosa

On-site

MXN 420,000 - 600,000

Full time

5 days ago
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Job summary

Corning Incorporated in Reynosa is seeking an Industrial Engineer – Digital Solutions to blend IE fundamentals with programming to reduce manual data work and connect manufacturing systems. You will build scalable digital tools and data-driven solutions for the IE team.

The ideal candidate has a continuous improvement mindset and the technical curiosity to challenge current workflows, partnering with technicians and process engineers to implement practical digital solutions.

Qualifications

  • Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, or related field.
  • 1+ years of experience in industrial engineering, process improvement, or manufacturing environments.
  • Proficiency in Python for scripting, data analysis, and process automation.
  • Proficiency in SQL for data querying, extraction, and manipulation.
  • Proficiency in Power BI for dashboard development and KPI reporting.
  • Familiarity with SAP and/or Windchill or comparable ERP/PLM systems in manufacturing.

Responsibilities

  • Support IE activities across manual and semi-automatic assembly lines, including time studies and cost modeling.
  • Develop and maintain data solutions using Python, SQL, and Power BI to automate reporting.
  • Build integrations connecting SAP, Windchill, and Excel-based cost models to reduce data entry and improve accuracy.
  • Design lightweight internal apps to simplify workflows currently requiring manual effort.
  • Collaborate with technicians and process engineers to document and automate current-state workflows.

Skills

Python
SQL
Power BI
SAP/Windchill

Education

Bachelor’s degree in Industrial Engineering or related field

Job description

Corning Incorporated in Reynosa is seeking an Industrial Engineer – Digital Solutions to blend IE fundamentals with programming to reduce manual data work and connect manufacturing systems. You will build scalable digital tools and data-driven solutions for the IE team.

The ideal candidate has a continuous improvement mindset and the technical curiosity to challenge current workflows, partnering with technicians and process engineers to implement practical digital solutions.

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