Equipment Integration Engineer

Pay: $50-75/hr (based on experience)

Duration:1 yr

Location: Corning, NY

• This position is HYBRID: required to be onsite 3-5 days/week, depending on workflow*

We're looking for a Staff Software Engineer specializing in Equipment Integration to build the software that connects our manufacturing equipment with enterprise systems like MES, ERP, SCADA, and other smart‐factory platforms. In this role, you'll blend full‐stack engineering with deep equipment‐connectivity expertise to enable reliable, scalable, real‐time data flow across our production environment.

What You'll Do

Design, develop, test, and deploy full‐stack software solutions for equipment‐to‐system integration

Build backend services (Java, C#, Python, Node.js) and front‐end interfaces (HTML, CSS, JavaScript)

Implement messaging and integration frameworks (ActiveMQ, RabbitMQ, Kafka, MQTT)

Connect manufacturing equipment using protocols like OPC UA, SECS/GEM, TCP/IP, MQTT

Integrate with MES, SCADA, and other manufacturing platforms

Design and optimize databases for equipment data, events, and historical tracking

Troubleshoot connectivity, data flow, and system behavior issues

Support deployments, commissioning, and production startup

Maintain documentation and collaborate with architects, IT, and manufacturing teams

Stay current with Industry 4.0 technologies and contribute to continuous improvement

What You Bring

Bachelor's degree in Computer Science, Software Engineering, Engineering, or related field

5+ years of software development experience (full‐stack or backend)

Proficiency in Java, C#, Python, or JavaScript

Knowledge of OPC UA, SECS/GEM, TCP/IP, or message‐queuing technologies

Experience with databases, Git, and Agile tools (Jira, GitLab)

Preferred Skills

Experience with messaging frameworks (ActiveMQ, RabbitMQ, Kafka, MQTT)

Familiarity with SCADA (Ignition, znt Client) or MES (Siemens OpCenter/Camstar)

Experience integrating manufacturing equipment with industrial systems

Understanding of manufacturing environments, automation, and Industry 4.0

Experience with OSI PI or analytics platforms

Strong debugging, problem‐solving, and communication skills

Ability to collaborate across multidisciplinary teams

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