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Date: Jun 20, 2026

Location: Reynosa, TAM, MX, 88730

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Company: Corning

Requisition Number: 74882

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.

Overview

The Data Engineer will work with our Optical Communications business, inclusive of fiber, cables, and connectivity. Their primary responsibility will be to provide robust and scalable data pipelines, reliable infrastructure, and high-quality data platforms that support manufacturing, operations, and business data users in order to enable fast, accurate insights, improve production visibility, support data-driven decision making, and drive business value through trusted, accessible data.

In addition, this role will contribute to advancing AI/ML-enabled data management capabilities within the Data Management Organization. This includes supporting AI-driven Data Quality Agents, intelligent data observability, and advanced automated data quality checks that are actively being built and expanded within the group, with a focus on manufacturing and operational data environments.

Responsibilities

As a Data Engineer for our Optical Communications business, your main responsibilities will be:

Build and maintain data pipelines — Develop, test, and support reliable data pipelines that ingest, transform, and deliver manufacturing, operational, and business data for batch and near real-time use cases.
Support data platform operations and continuous improvement — Help maintain data infrastructure and workflows to ensure data availability, performance, and reliability for reporting, analytics, downstream applications, and AI/ML use cases. Assist with troubleshooting data issues, improving pipeline efficiency, documenting data flows, and following engineering best practices for maintainable and scalable data solutions.
Implement data quality processes — Apply automated checks, validation rules, and monitoring to help ensure the accuracy, completeness, and consistency of manufacturing and operational data, while supporting data readiness for AI-driven analytics and machine learning applications.
Develop production-ready datasets — Work with manufacturing teams, analysts, data scientists, and other business partners to understand data needs and deliver clean, usable datasets that support reporting, analysis, operational decision-making, and AI/ML model development.
Support AI/ML data integration — Prepare, transform, and structure manufacturing and operational data for AI/ML use cases, including enabling model training, feature development, inference workflows, and data availability for intelligent monitoring and automation solutions.

Career Growth

The Data Engineer role is intentionally designed to support multiple career paths, allowing individuals to grow and excel based on their strengths, interests, and long‑term aspirations. Data Engineers may deepen expertise in a single path or transition between paths over time.

Data Engineer SME Path — For individuals whose passion is deep technical mastery and subject‑matter expertise
Build strong expertise in data platforms, pipelines, and domain-specific data, with opportunities to become a go-to resource for specific systems or manufacturing data domains
Contribute to technical design discussions, code reviews, and documentation while continuing to strengthen engineering best practices
Grow influence by improving data engineering standards, solution patterns, and data quality practices across projects and teams, building the depth of technical expertise and ownership expected for progression into a Senior Data Engineer role
ML/AI Jump Path – For individuals interested in accelerating towards advanced analytics, AI, and ML-driven leadership roles
Support the development of AI/ML-enabled data engineering solutions, including intelligent data quality, automated observability, and data workflows that enable AI-driven use cases
Work closely with the Decision Intelligence Group and other partners to support advanced analytics, ML, and AI use cases through reliable, well-structured data
Gain exposure and experience that prepares them for future technical growth within advanced analytics, AI/ML, or data engineering specialization roles
Technical Managerial Path – For individuals motivated by people leadership and team development in a technical environment
Build leadership skills through mentoring peers, sharing knowledge, and helping coordinate work across projects and team efforts
Take on increasing responsibility in project delivery, stakeholder collaboration, and cross-functional coordination across IT and business teams

Experiences/Education - Required

Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related technical discipline
2+ years of experience in data engineering or related roles, with experience building, maintaining, and supporting ETL/ELT pipelines, data integration workflows, data warehouses, or cloud-based data platforms
Experience working with manufacturing, operational, or industrial data, including integrating and transforming data that supports production, quality, equipment, or supply chain processes
2+ years of programming experience in Python, with the ability to write clean, maintainable, and testable code
Experience supporting data solutions used for analytics, reporting, or AI/ML applications, including exposure to AI-enabled workflows, machine learning data preparation, or data pipelines that support intelligent automation
Hands-on experience with data processing and integration technologies such as Apache Spark, SQL-based transformation tools, Kafka, or similar batch and streaming technologies
Experience with cloud platforms such as AWS, GCP, or Azure, including familiarity with data storage, compute, and managed data services used in modern data architectures
Proficiency in SQL, data modeling, and database technologies, including relational databases and modern data warehousing environments
Strong communication and collaboration skills, with the ability to work effectively across cross-functional teams including manufacturing, analytics, IT, and business stakeholders

Experiences/Education - Desired

Experience in manufacturing, industrial IoT, or scientific research environments, with exposure to time-series data, sensor data ingestion, and high-volume data processing from operational technology (OT) systems

Proficiency or hands-on experience with the following tools:
Databases & Data Warehousing: Oracle, Microsoft SQL Server, PostreSQL
Enterprise ETL & Integration Platforms: Informatica, Mulesoft, SSIS
Open Source Data Integration & DAG Orchestration: Airflow, Dagster, Prefect
Manufacturing & Industrial Data Sources: Pi Integrator, Camstar, Maximo

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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