AI-Enabled Manufacturing Data Engineer

Corning Inc.; Newton (NC); On-site; USD 82,000 - 113,000; Full time

Benefits offered by this job

Bonuses & incentives

401(k) matching

Comprehensive health, dental, vision

Job summary

Corning is seeking a Manufacturing Data Solutions Engineer to transform manufacturing data into actionable BI, analytics, and AI-enabled solutions. This role bridges operations and digital technologies by building scalable data pipelines, analytics platforms, dashboards, and reporting to drive operational excellence across facilities.

You will collaborate with Operations, Engineering, Quality, SAP, CAMSTAR, and IT to integrate data from multiple systems, deliver insights, and enable advanced

Qualifications

• Bachelor’s degree in computer science, Information Systems, Data Engineering, Computer Engineering, Analytics, or equivalent experience to be considered.
• Minimum of 3+ years of experience in data engineering, business intelligence, analytics, or manufacturing systems.
• Experience supporting MES manufacturing or industrial environments.
• Experience developing reporting and analytics solutions for business users.
• Experience integrating data across multiple enterprise platforms.
• Databricks
• SQL, Python, Apache Spark
• ETL / ELT Development and Data Pipeline Design
• Data Modeling and Data Warehousing Concepts
• Oracle and SQL Server
• Manufacturing Data Integration
• Power BI, DAX, Dashboard Development, Requirements Gathering
• Business Process Analysis
• System Integration

Responsibilities

• Design, develop, and maintain data pipelines within Databricks.
• Build and support ETL/ELT solutions for manufacturing data integration.
• Develop scalable data models and datasets for reporting, analytics, and AI solutions.
• Integrate data from manufacturing systems, historians, ERP platforms, databases, and other business applications.
• Ensure manufacturing data is available, reliable, accurate, and accessible.
• Design and develop Power BI dashboards, reports, and KPI scorecards.
• Create standardized manufacturing metrics and reporting solutions.
• Support operational performance monitoring through analytics and visualization.
• Perform root cause analysis and trend analysis using manufacturing data.
• Deliver actionable insights that improve quality, throughput, downtime, and cost performance.
• Develop expertise in manufacturing processes, production workflows, and business operations.
• Understand data movement across MES, Historian, SAP, Oracle, SQL, and other manufacturing systems.
• Identify opportunities to improve data quality, visibility, and process efficiency.
• Translate manufacturing requirements into technical solutions.
• Support AI and advanced analytics initiatives.
• Prepare and structure manufacturing data for machine learning and predictive analytics.
• Partner with data scientists, engineers, and business stakeholders to develop innovative solutions.
• Assist in evaluating emerging technologies that improve manufacturing performance.
• Support image analytics, predictive maintenance, quality analytics, and other Industry 4.0 initiatives.
• Work closely with Operations, Engineering, Quality, and Manufacturing leadership.
• Gather business requirements and translate them into technical specifications.
• Present analytics findings and recommendations to business stakeholders.
• Promote adoption of data-driven decision-making across the organization.
• Serve as a trusted technical advisor for manufacturing analytics solutions.

Education

Bachelor’s degree in computer science, Information Systems, Data Engineering, Computer Engineering, Analytics, or equivalent experience

Tools

Databricks

SQL

Python

Apache Spark

ETL/ELT Development

Data Modeling

Data Warehousing

Oracle

SQL Server

Manufacturing Data Integration

Power BI

DAX

Dashboard Development

Requirements Gathering

System Integration

Job description

Corning is seeking a Manufacturing Data Solutions Engineer to transform manufacturing data into actionable BI, analytics, and AI-enabled solutions. This role bridges operations and digital technologies by building scalable data pipelines, analytics platforms, dashboards, and reporting to drive operational excellence across facilities.

You will collaborate with Operations, Engineering, Quality, SAP, CAMSTAR, and IT to integrate data from multiple systems, deliver insights, and enable advanced