Manufacturing Systems Integration Engineer

Corning•Town of Canton, NY

6d•$86,878 - $119,458

About The Position

Corning is seeking a Manufacturing Systems Integration Engineer to design, implement, and support secure, scalable integrations across manufacturing, operational technology (OT), and enterprise IT systems. The role enables reliable data exchange between plant-floor platforms and business applications using APIs, middleware, database interfaces, and related technologies. The position supports Corning’s digital manufacturing and AI/automation strategy by helping ensure manufacturing data is connected, accessible, governed, and usable for operational reporting, advanced analytics, automation, and AI solutions. It serves as a link between plant operations and enterprise IT, maintaining reliable interfaces while building a connected data foundation for future transformation. The Specialty Materials segment makes products using more than 150 material formulations for glass, glass ceramics, and fluoride crystals, serving markets including display optics, semiconductor optics, aerospace and defense, astronomy, ophthalmic products, telecommunications, and portable-device cover glass.

Requirements

Bachelor’s degree in Information Technology, Computer Science, Information Systems, Engineering, or a related field.
At least 3 years of experience in systems integration, application integration, enterprise systems support, OT/IT convergence, or related technical roles.
Experience supporting manufacturing platforms such as MES, CAMSTAR, SCADA, PAC, historians, or similar plant systems.
Hands-on experience with APIs, web services, middleware, database integrations, file transfers, or message-based integration patterns.
Experience troubleshooting system interfaces, data flows, connectivity issues, and transaction-processing problems across multiple systems.
Working knowledge of Microsoft SQL Server and relational database concepts.
Experience with one or more scripting or programming languages, such as Python, Java, C#, or .NET.
Familiarity with modern data platforms, automation solutions, or AI-enabled business environments, and the role of integrated data in enabling them.
Knowledge of networking fundamentals and secure communications in segmented manufacturing environments.
Strong analytical, troubleshooting, communication, and cross-functional collaboration skills.
U.S. citizenship is required; documentation of citizenship status must be provided if an offer is received.
The position does not support immigration sponsorship.

Nice To Haves

Experience with enterprise integration platforms, API management, or middleware connecting manufacturing and business systems.
Familiarity with REST/SOAP services, JSON/XML payloads, message queues, event-driven integration, and orchestration concepts.
Experience with Kepware/OPC, Windows Server, IIS, or related manufacturing connectivity technologies.
Exposure to Databricks, Azure, AWS, or similar cloud/data platforms used for analytics, automation, or AI workloads.
Experience with Power BI or similar reporting and visualization platforms.
Experience supporting data pipelines, data governance, master data, and data quality practices in manufacturing environments.
Understanding of ISA-95, ISA-88, Industry 4.0, and OT/IT cybersecurity principles.
Experience with AI solutions, copilot tools, or automation platforms in technical or operations-focused environments.
Familiarity with applying AI or automation to manufacturing, engineering, quality, maintenance, or operational workflows.

Responsibilities

Design, build, and support integrations between manufacturing systems, OT platforms, and enterprise IT applications.
Develop and maintain interfaces using APIs, middleware, SQL/database integrations, file-based exchanges, and event- or message-driven architectures.
Support interoperability across SCADA, MES/CAMSTAR, PAC, SQL Server, Power BI, and enterprise or cloud data environments.
Troubleshoot interface failures, data-flow issues, and application connectivity problems; perform root-cause analysis and corrective actions.
Partner with manufacturing, engineering, enterprise IT, infrastructure, networking, and cybersecurity teams to deliver secure, supportable integration solutions.
Enable reliable manufacturing data pipelines for reporting, automation, analytics, and AI-driven use cases.
Support integration of manufacturing data into enterprise platforms such as Databricks and other cloud/data environments for advanced analytics and AI applications.
Help establish standards for data quality, governance, documentation, and supportability across integrated manufacturing systems.
Create and maintain technical documentation, including interface designs, data mappings, support procedures, and system dependencies.
Support testing, deployment, validation, release activities, and ongoing operational support for manufacturing interfaces and connected applications.
Contribute to continuous improvement initiatives that improve interoperability, scalability, and readiness for future digital and AI capabilities.

Benefits

Company-wide bonuses and long-term incentives.
100% company-paid pension benefit with fixed contributions.
401(k) savings plan with matching contributions; total company retirement contributions can reach between 7% and 12% of pay, depending on age and years of service.
Medical insurance.
Dental insurance.
Vision insurance.
Paid parental leave.
Family-building support.
Fitness benefits.
Company-paid life insurance.
Disability benefits.
Disease management programs.
Paid time off.
Employee Assistance Program (EAP).
Employee recognition program.