Manufacturing Data Intelligence Engineer

Corning Inc.; Newton, Northern (NC, KY); Hybrid; USD 82,000 - 113,000; Full time

Benefits offered by this job

Company-wide bonuses

401(k) retirement contributions

Health and wellness benefits

Paid time off

Job summary

Corning is seeking an IT Manufacturing Data Solutions Engineer in Newton, NC to transform manufacturing data into actionable insights. You’ll build scalable data pipelines, analytics platforms, and Power BI dashboards, collaborating with Operations, Engineering and IT to enable AI-enabled solutions across sites.

As a bridge between manufacturing and digital tech, you will enable advanced analytics, machine learning, and data-driven decision making to improve quality, throughput and costs.

Qualifications

• Bachelor’s degree in a relevant field and 3+ years of data engineering or BI experience.
• Experience supporting MES/manufacturing environments and data integration.
• Ability to design data pipelines, data models, and dashboards for business users.
• Familiarity with Databricks, ETL/ELT, and SQL-based data warehousing.

Responsibilities

• Design, develop, and maintain data pipelines in Databricks and ETL/ELT workflows.
• Build scalable data models and datasets for dashboards, analytics, and AI solutions.
• Develop Power BI dashboards, reports, and KPI scorecards for operations.
• Collaborate with Operations, Engineering, Quality, SAP, and IT to translate needs into technical specs.
• Support AI initiatives, predictive analytics, and Industry 4.0 projects.
• Perform root cause and trend analysis using manufacturing data.

Skills

Business Process Analysis

System Integration

Data Modeling

Requirements Gathering

Data Engineering

Education

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Computer Engineering, Analytics, or equivalent

Tools

Databricks

ETL/ELT Development

Power BI

DAX

Oracle

SQL Server

CAMSTAR

Azure

Job description

Corning is seeking an IT Manufacturing Data Solutions Engineer in Newton, NC to transform manufacturing data into actionable insights. You’ll build scalable data pipelines, analytics platforms, and Power BI dashboards, collaborating with Operations, Engineering and IT to enable AI-enabled solutions across sites.

As a bridge between manufacturing and digital tech, you will enable advanced analytics, machine learning, and data-driven decision making to improve quality, throughput and costs.