Sr. Data Engineer

Corning Incorporated; San Luis Potosí; Hybrid; MXN 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work model

Career growth in Data Engineering

Mentorship and collaboration with a全球跨

Competitive compensation and benefits

Job summary

Corning Incorporated is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and datasets supporting manufacturing analytics and AI/ML workloads.

You will lead complex data engineering initiatives, collaborate with diverse stakeholders, and mentor fellow engineers to drive robust data solutions across Corning’s global operations.

Qualifications

• Bachelor's degree in a technical field.
• At least 3 years of experience in Data Engineering or related data-focused role, including building production data pipelines.
• At least 2 years of hands-on Python experience and building data pipelines in production.
• Strong hands-on experience with Apache Spark, PySpark, SparkSQL, or similar distributed processing technologies.
• Advanced SQL skills and experience with data modeling, warehouses, lakes, or lakehouse environments.
• Experience with manufacturing, production, or operational data.
• Experience with cloud-based data platforms (AWS, Azure, GCP); AWS preferred.
• Experience leading technical projects or owning complex Data Engineering initiatives; strong communication with stakeholders.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines for batch and near-real-time use cases.
• Create production-ready datasets supporting manufacturing visibility and AI/ML applications.
• Implement automated data quality checks, monitoring, and observability to improve reliability.
• Lead technical delivery of complex Data Engineering projects across design, development, testing, and deployment.
• Collaborate with manufacturing teams, analysts, data scientists, product owners, and architects.
• Mentor Data Engineers through code reviews and best practices.

Skills

Python

Apache Spark

PySpark

SQL

Data pipelines

Cloud platforms

Communication

Mentoring

Stakeholder collaboration

Education

Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related field

Tools

Databricks

Snowflake

Delta Lake

Parquet

Iceberg

PostgreSQL

MySQL

Microsoft SQL Server

Kafka

Flink

Airflow

Dagster

Prefect

Job description

Sr. Data Engineer

Date: Oct 5, 2026

Location: Obispado, NLE, MX, 64060

Company: Corning

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.

You will independently lead complex Data Engineering initiatives, collaborate with technical and business stakeholders, and provide guidance to other engineers through mentoring, code reviews, and knowledge sharing.Major responsibilities and tasks of the position:

• 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].