Sr. Data Engineer (Reynosa, TAM, MX, 88730)

<p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">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?</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">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.</span></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 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.</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">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:</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Design, build, optimize, and maintain scalable ETL/ELT pipelines and data solutions for batch and near-real-time use cases.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Develop reliable, production-ready datasets that support manufacturing visibility, operational decision-making, analytics, reporting, and AI/ML applications.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Implement automated data-quality checks, monitoring, observability, and validation processes to improve data reliability and reduce production issues.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Lead the technical delivery of complex Data Engineering projects, including solution design, development, testing, deployment, troubleshooting, and continuous improvement.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Collaborate with manufacturing teams, analysts, data scientists, product owners, architects, application teams, and business stakeholders.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Mentor Data Engineers through code reviews, technical guidance, troubleshooting support, and engineering best practices.</span></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 3 years of experience in Data Engineering or a related data-focused role, including designing, building, maintaining, or supporting production data pipelines.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- At least 2 years of hands-on professional experience using Python and building data pipelines in a production environment.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- Strong hands-on experience with 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">- Advanced SQL skills and experience with data modeling, relational databases, data warehouses, data lakes, or lakehouse environments.</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 cloud-based data platforms using AWS, Azure, or Google Cloud. AWS experience is strongly preferred.</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- 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.</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> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- 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.</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> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">- 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.</span></p> <p> </p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><strong>More about us</strong>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> </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> </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.</span></p>