Principal DataOps Engineer, IT Manufacturing Analytics

Reqs: Master’s degree in Information Systems, Information Technology, Computer Science, Computer Engineering, or closely related & 7 yrs. exp. delivering end-to-end data engineering solutions for manufacturing. Reqs. 7 yrs. exp.: designing & building data models & data engineering pipelines to integrate data; w/ software application development to support manufacturing & automation (i.e. Manufacturing Execution System, inspection systems, systems integration). 5 yrs. exp. w/: programming languages (i.e. C#, HTML), productivity tools (i.e. SQL, Python), & Source Control Systems (i.e. git, CI/CD Concepts). 2 yrs. exp.: w/ Cloud technology or architecture, incl. infrastructure as code (IaaC) to support cluster spinoffs & set up services to aid data processing/machine learning; & using tools & technologies for Workflow Orchestraion & Data Visualization (i.e. Databricks, Python, PowerBI, Tableau, Airflow).

Paid parental leave, Parental leave, Health insurance, 401(k) matching, Paid time off, Vision insurance, Dental insurance, Life insurance, Send resume referencing “1524” to Cassandra Tuckey at careers@corning.com or One Riverfront Plaza, Corning, NY 14831. Rate of Pay: $156,166 - $175,276/year

A job that shapes a life.

Corning offers you the total package.

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

• Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
• As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning’s total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
• Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.
• Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.

How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings - carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use. Corning Incorporated seeks Principal DataOps Engineer, IT Manufacturing Analytics to work at its Charlotte, NC facility. Architect, design, develop, & deploy resilient/auto recovery capable data engineering pipelines; utilize various data sources & engineer consumption ready data set to serve data scientists & process engineers; develop solutions that align with FAIR data principles; collaborate on strategic roadmaps for data engineering & big data analytics; work w/ peers to obtain buy in & leverage best practices; support discovery, manufacturing data literacy, & documentation of new manufacturing initiatives.