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Are you ready to define the technical direction of a growing Data Engineering organization while remaining hands-on with modern cloud, manufacturing, and AI-enabled data solutions?
Join Corning’s Optical Communications team and help shape scalable data platforms that support manufacturing, operations, analytics, reporting, and AI/ML initiatives across a general organization.
What is your role?
As a Lead Data Engineer, you will serve as a senior individual contributor responsible for defining technical direction, leading complex Data Engineering initiatives, and building scalable, reliable, and cost-effective data solutions.
You will remain hands-on with data pipelines, Python, SQL, cloud technologies, and distributed data processing while also influencing architecture, engineering standards, data quality, governance, and platform strategy.
This position does not currently have direct reports. Leadership will be demonstrated through technical expertise, project ownership, mentoring, and cross-functional influence.




Major responsibilities and tasks of the position:
- Define and evolve scalable data architectures, platforms, pipelines, and curated data products that support manufacturing, analytics, reporting, and AI/ML applications.
- Lead the design, development, optimization, and delivery of complex ETL/ELT pipelines and distributed data-processing solutions.
- Establish and promote Data Engineering standards, development patterns, data-quality frameworks, observability practices, documentation, and platform governance.
- Provide technical leadership across projects and teams through architecture reviews, mentoring, troubleshooting, code reviews, and cross-functional collaboration.
- Partner with manufacturing, analytics, Decision Intelligence, IT, architecture, application, and business teams to align data solutions with strategic priorities.

What do you need to have?
- Bachelor’s degree in Computer Sc

📌 Lead Data Engineer (Reynosa)
🏢 Corning
📍 Reynosa