Data Engineer

Date: Aug 8, 2026

Location: Obispado, NLE, MX, 64060

Company: Corning

Are you ready to build data solutions that improve manufacturing performance and enable the next generation of AI and machine learning?

Join Corning’s Optical Communications team and help transform complex manufacturing and operational data into reliable, scalable, and trusted data products that support faster decisions, greater production visibility, and business innovation.

What is your role?

As a Data Engineer, you will build, maintain, and support data pipelines and cloud-based data solutions for Corning’s manufacturing and operational environments.

You will collaborate with manufacturing teams, analysts, data scientists, and technology partners to deliver clean and reliable data for reporting, analytics, operational decision-making, and AI/ML applications.

This position is adecuado for a hands-on Data Engineer who has strong Python and SQL fundamentals and is interested in growing within modern data platforms, manufacturing data, and AI-enabled solutions.





Major responsibilities and tasks of the position:
- Build, test, and support reliable ETL/ELT pipelines that ingest, transform, and deliver manufacturing, operational, and business data.
- Develop clean and production-ready datasets for reporting, analytics, manufacturing visibility, and AI/ML applications.
- Implement automated data-quality checks, validation rules, monitoring, and troubleshooting processes to improve data reliability.
- Support cloud data-platform operations, pipeline performance, documentation, and continuous improvement initiatives.
- Partner with manufacturing, analytics, IT, and business stakeholders to understand data needs and deliver scalable solutions.

What do you need to have?
- Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or another related technical discipline.
- At least 1 year of experience in data engineering, data integration, ETL/ELT development, analyti

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