> Markdown version of [/jobs/ext/276753-principal-dataops-engineer-it-manufacturing-analytics](https://www.wearedevelopers.com/jobs/ext/276753-principal-dataops-engineer-it-manufacturing-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal DataOps Engineer, IT Manufacturing Analytics - **Company:** Corning - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Salary:** $156,166.0 - $175,276.0 - **Contract:** Permanent contract - **Skills:** HTML, Airflow, Data Analysis, C Sharp (Programming Language), Cloud Computing, Information Engineering, Data Visualization, Revision Control Systems, Python (Programming Language), Machine Learning, Productivity Software, Power BI, DataOps, Software Engineering, SQL Databases, Systems Integration, Tableau (Software), Data Processing, Git, Cassandra, Databricks, Programming Languages - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a467e4b23498dbb0 ## About the Role 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). ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [NoLoJS - Avoiding JavaScript Cruft with HTML and CSS - Aaron T. Grogg](https://www.wearedevelopers.com/videos/1806-nolojs-avoiding-javascript-cruft-with-html-and-css-aaron-t-grogg) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023) - [Now is the time for industrialized software development](https://www.wearedevelopers.com/magazine/601-now-is-the-time-for-industrialized-software-development) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)