Data Engineer

Corning Incorporated; Monterrey; Híbrido; MXN 700.000 - 1.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work arrangement

Descripción de la vacante

Corning Incorporated is seeking a Data Engineer to build, maintain, and support data pipelines and cloud-based data solutions for manufacturing and operational environments. You will collaborate with manufacturing teams, analysts, and data scientists to deliver clean and reliable data for reporting, analytics, and AI/ML applications.

The role emphasizes hands-on Python and SQL, data-quality automation, and working with modern data platforms to enable faster decisions and greater production

Formación

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or another related technical discipline.
• 1+ year of experience in data engineering, data integration, ETL/ELT development, analytics engineering, or a related data-focused role.
• At least 2 years of programming experience using Python, with the ability to write clean, maintainable, and testable code.
• Strong SQL skills and experience with relational databases, data modeling, and data transformations.
• Hands-on experience building or supporting data pipelines using Apache Spark, PySpark, SparkSQL, or comparable distributed data-processing technologies.
• Hands-on experience with Databricks or Snowflake.
• Experience with manufacturing, production, industrial, operational, equipment, quality, or supply-chain data.
• Experience with a cloud platform such as AWS, Azure, or Google Cloud. AWS experience is preferred.
• Strong communication and collaboration skills, with the ability to work with technical and non-technical stakeholders.

Responsabilidades

• 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.

Conocimientos

Python programming

SQL

Communication skills

Collaboration

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Databricks

Snowflake

Apache Spark / PySpark

Kafka

Airflow / Dagster / Prefect

Microsoft SQL Server / PostgreSQL

AWS / Azure / Google Cloud

Descripción del empleo

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 ideal 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.

Responsibilities

• 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.

Qualifications

• 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, analytics engineering, or a related data‑focused role.
• At least 2 years of programming experience using Python, with the ability to write clean, maintainable, and testable code.
• Strong SQL skills and experience working with relational databases, data modeling, and data transformations.
• Hands‑on experience building or supporting data pipelines using Apache Spark, PySpark, SparkSQL, or comparable distributed data‑processing technologies.
• Hands‑on experience with Databricks or Snowflake.
• Experience working with manufacturing, production, industrial, operational, equipment, quality, or supply‑chain data.
• Experience with a cloud platform such as AWS, Azure, or Google Cloud. AWS experience is preferred.
• Strong communication and collaboration skills, with the ability to work with technical and non‑technical stakeholders.

Preferred Qualifications

• Experience with data‑quality automation, data observability, or automated monitoring.
• Exposure to AI/ML data pipelines, model‑training data preparation, intelligent automation, or AI‑enabled data workflows.
• Experience with Kafka, Flink, or other streaming technologies.
• Experience with time‑series data, sensor data, industrial IoT, or operational technology data.
• Familiarity with Airflow, Dagster, Prefect, PI Integrator, Camstar, Maximo, Microsoft SQL Server, or PostgreSQL.

Benefits

• A hybrid role based in Monterrey or Reynosa, Mexico.
• The opportunity to work with modern cloud data platforms, manufacturing data, analytics, and AI/ML‑enabled technologies.
• Mentorship and technical development opportunities within an expanding Data Engineering organization.
• Career‑growth opportunities in Data Engineering, technical subject‑matter expertise, AI/ML, or future technical leadership.
• Competitive compensation and benefits.

About Us

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. Our technologies help connect the world, advance communications, transform industries, and support products that improve everyday life. Our Optical Communications business provides industry‑leading fiber, cable, connectivity, and optical‑network solutions used by businesses, governments, service providers, and individuals around the world.

Equal Employment Opportunity

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 accommodation 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 [e-mail].