Digital Engineer: Manufacturing 4.0 & Data (Hybrid)

Corning Inc.

Monterrey

Hybrid

MXN 360,000 - 540,000

Full time

36 hours ago
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Job summary

Corning Inc. in Monterrey is seeking a Digital Engineer to drive Manufacturing 4.0 initiatives.

You will translate shop-floor needs into practical digital solutions and collaborate with manufacturing, operations, engineering, IT, and data teams. You will work hybrid, engaging with global projects, building dashboards, data workflows, and MES-related initiatives while improving visibility, traceability, and productivity across our operations.

Qualifications

  • Bachelor's degree in a technical field listed.
  • 1–3 years of experience in manufacturing, engineering, or digital transformation.
  • Hands-on experience with digital, automation, data, dashboards, MES or data acquisition.
  • Experience with data analysis/visualization tools (Power BI, SQL, Python, Grafana, Excel).
  • Strong communication, presentation, problem-solving and influencing skills.
  • Advanced English communication skills.

Responsibilities

  • Support Manufacturing 4.0 projects from problem definition to sustainment.
  • Collaborate with manufacturing teams to implement dashboards, data workflows, traceability, MES initiatives, and automation.
  • Collect, validate, and analyze manufacturing data; support reporting/visualization using Power BI, SQL, Python, Grafana.
  • Translate needs into digital requirements and drive adoption across cross-functional teams.

Skills

Data analytics
Power BI
SQL
Python
Excel

Education

Mechatronics
Industrial Engineering
Process Engineering
Digital Transformation
Computer Science
Data Analytics
Information Systems
Automation

Tools

Grafana

Job description

Corning Inc. in Monterrey is seeking a Digital Engineer to drive Manufacturing 4.0 initiatives.

You will translate shop-floor needs into practical digital solutions and collaborate with manufacturing, operations, engineering, IT, and data teams. You will work hybrid, engaging with global projects, building dashboards, data workflows, and MES-related initiatives while improving visibility, traceability, and productivity across our operations.

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