Principal DataOps Engineer, IT Manufacturing Analytics

  • Corning Inc
  • Charlotte, North Carolina
  • 04/10/2026
Full time Information Technology Telecommunications SQL Python Data Scientist

Job Description

Advertisement 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. Up to 25% domestic and international travel. 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). Send resume referencing "1524" to Cassandra Tuckey at or One Riverfront Plaza, Corning, NY 14831. Rate of Pay: $156,166 - $175,276/year