Data Engineer: AI-Ready Manufacturing Data Pipelines

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

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