Data Engineer (Reynosa, TAM, MX, 88730)

<h1><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Are you ready to build data solutions that improve manufacturing performance and enable the next generation of AI and machine learning?</span></h1> <div id="jobreq_print_container"> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">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.</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><strong>What is your role?</strong></span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">As a Data Engineer, you will build, maintain, and support data pipelines and cloud-based data solutions for Corning’s manufacturing and operational environments.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">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.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">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.</span></p> <p> </p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><strong>Major responsibilities and tasks of the position:</strong></span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Build, test, and support reliable ETL/ELT pipelines that ingest, transform, and deliver manufacturing, operational, and business data.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Develop clean and production-ready datasets for reporting, analytics, manufacturing visibility, and AI/ML applications.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Implement automated data-quality checks, validation rules, monitoring, and troubleshooting processes to improve data reliability.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Support cloud data-platform operations, pipeline performance, documentation, and continuous improvement initiatives.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Partner with manufacturing, analytics, IT, and business stakeholders to understand data needs and deliver scalable solutions.</span></p> <p> </p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><strong>What do you need to have?</strong></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or another related technical discipline.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- At least 1 year of experience in data engineering, data integration, ETL/ELT development, analytics engineering, or a related data-focused role.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- At least 2 years of programming experience using Python, including the ability to write clean, maintainable, and testable code.- Strong SQL skills and experience working with relational databases, data modeling, and data transformations.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Hands-on experience building or supporting data pipelines using Apache Spark, PySpark, SparkSQL, or comparable distributed data-processing technologies.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Hands-on experience with Databricks or Snowflake.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Experience working with manufacturing, production, industrial, operational, equipment, quality, or supply-chain data.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Experience with a cloud platform such as AWS, Azure, or Google Cloud. AWS experience is preferred.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Strong communication and collaboration skills, with the ability to work with technical and non-technical stakeholders.</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><strong>What would be helpful?</strong></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- 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.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Experience with Kafka, Flink, or other streaming technologies.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- 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.</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><strong>What do we offer?</strong></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- A hybrid role based in Monterrey or Reynosa, Mexico.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- The opportunity to work with modern cloud data platforms, manufacturing data, analytics, and AI/ML-enabled technologies.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Mentorship and technical development opportunities within an expanding Data Engineering organization.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Career-growth opportunities in Data Engineering, technical subject-matter expertise, AI/ML, or future technical leadership.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Exposure to global manufacturing, technology, analytics, and business teams.- Competitive compensation and benefits.</span></p> <p> </p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><strong>More about us</strong></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">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.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">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.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">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 accommodations@corning.com. Employee Referral Amount: $0.00 MXN  </span></p> </div>