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Process Data Engineer

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Date: Jan 12, 2026

Location: Reynosa, TAM, MX, 88730

Company: Corning

Requisition Number: 72625

 

The company built on breakthroughs. ​  
Join us.​    

                                                                          

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.  ​  

 

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​  

 

​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​   

 

​Come break through with us.  



Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

Role Purpose

The Process Data Engineer will design, build, and maintain robust data pipelines and architectures to enable advanced analytics and data-driven decision-making across manufacturing and engineering processes. This role is critical in advancing Manufacturing 4.0 initiatives and leveraging Databricks as the primary data engineering platform. This role will be responsible for end-to-end data lifecycle management, from ingestion through modeling and consumption, across multiple manufacturing sites.

Key Responsibilities

Data Architecture & Pipeline Development

  • Design and implement scalable ETL pipelines for structured, semi-structured, and unstructured data using Databricks and related tools.
  • Integrate data from multiple sources (process control systems, IoT sensors, ERP, MES, SCADA, PLC, and quality systems) into a unified lakehouse medallion architecture.
  • Define and enforce standards for naming, metadata, and data modeling.

Data Management & Governance

  • Ensure data quality, integrity, and compliance with governance standards.
  • Implement and maintain data security, access controls, and role-based permissions.
  • Develop and maintain data dictionaries, context maps, and lineage documentation.

Analytics Enablement

  • Collaborate with data scientists and process engineers to deliver datasets for machine learning and statistical modeling.
  • Create and optimize queries, dashboards, and visualizations for operational insights using Databricks SQL and BI tools (Power BI, Tableau).

Process Optimization & Manufacturing 4.0

  • Support predictive and prescriptive analytics initiatives.
  • Act as a subject matter expert on data-driven process improvement and troubleshooting.
  • Optimize pipelines and queries for performance, scalability, and cost efficiency in the cloud environment.

Experiences/Education - Required

  • Bachelor’s degree in Computer Science, Data Engineering, or related field (Master’s preferred).
  • Proven experience in Databricks for data engineering and analytics workflows.
  • Strong skills in SQL, Python, and Spark for big data processing.
  • Familiarity with cloud platforms (Azure, AWS) and lakehouse architecture.
  • Experience with Git-based version control and collaborative development practices (branching, code review).
  • Experience with data validation and testing frameworks (e.g., unit tests for data pipelines, data quality checks).
  • Knowledge of statistical analysis and process control concepts (SPC).

Experiences/Education - Desired

  • Experience with machine learning pipelines and MLOps.
  • Understanding of manufacturing processes and industrial data systems.
  • Certification in Databricks or related technologies.

A job that shapes a life. 

Corning offers you the total package. 

 

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one. 

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win. 

  • As part of our commitment to your financial well-being and in addition to full Mexico statutory benefits, we offer food coupons that ease daily costs, and a structured savings fund to support your long-term financial goals.  

  • Salaried employees are eligible for comprehensive medical and dental coverage. Additionally, all employees are covered by company-sponsored life insurance, total permanent disability protection, paid time off, and have access to our Employee Assistance Program to support you and your family. 

  • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. 

 

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.

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