Sr. Data Engineer

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

Are you ready to take ownership of complex data solutions and help shape the future of manufacturing analytics, artificial intelligence, and data-driven decision-making? Join Corning's Optical Communications team and help build scalable, reliable, and high-quality data products that support manufacturing, operations, analytics, and AI/ML applications across a global organization.

What is your role?

As a Senior Data Engineer, you will design, build, optimize, and maintain scalable data pipelines, curated datasets, and cloud-based data solutions supporting Corning's manufacturing and operational environments.

Responsibilities

• Design, build, optimize, and maintain scalable ETL/ELT pipelines and data solutions for batch and near-real-time use cases.
• Develop reliable, production-ready datasets that support manufacturing visibility, operational decision-making, analytics, reporting, and AI/ML applications.
• Implement automated data-quality checks, monitoring, observability, and validation processes to improve data reliability and reduce production issues.
• Lead the technical delivery of complex Data Engineering projects, including solution design, development, testing, deployment, troubleshooting, and continuous improvement.
• Collaborate with manufacturing teams, analysts, data scientists, product owners, architects, application teams, and business stakeholders.
• Mentor Data Engineers through code reviews, technical guidance, troubleshooting support, and engineering best practices.

What do you need to have?

• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or another related technical discipline.
• At least 3 years of experience in Data Engineering or a related data-focused role, including designing, building, maintaining, or supporting production data pipelines.
• At least 2 years of hands-on professional experience using Python and building data pipelines in a production environment.
• Strong hands-on experience with Apache Spark, PySpark, SparkSQL, or comparable distributed data-processing technologies.
• Advanced SQL skills and experience with data modeling, relational databases, data warehouses, data lakes, or lakehouse environments.
• Experience working with manufacturing, production, industrial, operational, equipment, quality, or supply-chain data.
• Experience with cloud-based data platforms using AWS, Azure, or Google Cloud. AWS experience is strongly preferred.
• Experience leading technical projects or independently owning complex Data Engineering initiatives. Strong communication and collaboration skills, with the ability to explain technical solutions and architecture decisions to technical and non-technical stakeholders.

What would be helpful?

• Experience with Databricks, Snowflake, Delta Lake, Parquet, Iceberg, PostgreSQL, MySQL, or Microsoft SQL Server. Experience with Kafka, Flink, or other real-time and streaming technologies. Experience with Airflow, Dagster, Prefect, or another data orchestration platform. Exposure to AI/ML data pipelines, Large Language Models, AI agents, intelligent automation, or AI-enabled data-quality solutions. Experience with time-series data, sensor data, industrial IoT, or operational technology systems. Familiarity with PI Integrator, Camstar, Maximo, LangChain, LlamaIndex, or Semantic Kernel.

What do we offer?

• A hybrid role based in Monterrey or Reynosa, Mexico. The opportunity to lead technically challenging Data Engineering projects with direct impact on manufacturing and business operations. Exposure to modern cloud platforms, distributed data processing, AI/ML enabled solutions, and intelligent data-quality technologies. Career-growth opportunities in Data Engineering subject-matter expertise, AI/ML specialization, technical leadership, or future people management. Opportunities to mentor other engineers and influence Data Engineering standards and best practices. Collaboration with global manufacturing, technology, analytics, and business teams. Competitive compensation and benefits.

More 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.

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 accommodations related to disability or religion, please contact us at [e-mail].