Requisition Number: 77032
Position SummaryThe Manufacturing Data Solutions Engineer is responsible for transforming manufacturing and operational data into actionable business intelligence, analytics, and AI-enabled solutions. This role serves as the bridge between manufacturing operations and digital technologies by developing scalable data pipelines, analytics platforms, dashboards, and reporting solutions that drive operational excellence.
The engineer works closely with Operations, Engineering, Quality, SAP, CAMSTAR and IT teams to understand manufacturing processes, integrate data from multiple systems, and deliver insights that improve productivity, quality, cost, and decision-making. The role plays a key part in Trivium's digital transformation strategy by enabling advanced analytics, machine learning, and AI capabilities across manufacturing facilities.
Key ResponsibilitiesManufacturing Data Engineering- 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.
Analytics & Business Intelligence- 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.
Manufacturing Systems & Process Understanding- 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.
Digital Transformation & AI Enablement- 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.
Collaboration & Stakeholder Engagement- 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.
Required 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
Preferred Qualifications- Experience supporting digital transformation initiatives.
- SAP integration experience.
- Knowledge of CAMSTAR manufacturing systems.
- Experience with AI, machine learning, and predictive analytics.
- Cloud platform experience (Azure preferred).
- Certifications in Databricks, Power BI, or Cloud.
- Experience supporting multi-site manufacturing operations.
This position does not support immigration sponsorship. The range for this position is $82,051.00 - $112,821.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.
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.
