Senior Data Engineer - Scalable ETL/AI Pipelines (Hybrid MX)

Corning Incorporated; Monterrey; Híbrido; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Corning Incorporated's Optical Communications team seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions powering manufacturing analytics, AI/ML initiatives, and data-driven decision making across a global organization.

You will lead end-to-end data engineering projects, implement data quality checks, mentor engineers, and collaborate with manufacturing, analytics, and product teams to improve data visibility, reliability, and

Formación

• Bachelor's degree in a technical field (CS, Engineering, Math, or Statistics)
• 3+ years in Data Engineering or related roles
• 2+ years building data pipelines in production
• Strong Python experience and production pipeline work
• Expertise with Spark, SparkSQL, or PySpark
• Advanced SQL, data modeling, and data warehousing knowledge
• Experience with manufacturing or industrial data and cloud platforms (AWS/Azure/GC)
• Experience leading technical projects and communicating with stakeholders

Responsabilidades

• Design, build, optimize, and maintain scalable ETL/ELT pipelines for batch and near-real-time workloads
• Develop production-ready datasets supporting visibility, analytics, and AI/ML
• Implement automated data-quality checks, observability, and validation processes
• Lead delivery of complex Data Engineering projects from design to deployment
• Collaborate with manufacturing teams, analysts, and data scientists
• Mentor Data Engineers through code reviews and best practices

Conocimientos

Python

Apache Spark

SQL

Data modeling

Cloud platforms

Leadership

Educación

Bachelor's degree in Computer Science or Engineering

Herramientas

Databricks

Snowflake

Kafka

Airflow

Descripción del empleo

Corning Incorporated's Optical Communications team seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions powering manufacturing analytics, AI/ML initiatives, and data-driven decision making across a global organization.

You will lead end-to-end data engineering projects, implement data quality checks, mentor engineers, and collaborate with manufacturing, analytics, and product teams to improve data visibility, reliability, and