Salesforce Developer

AVEVA PI (Software) Business Development Network Architecture Supply Chain Network Microsoft Networking Marketing Operations Regulatory Compliance Programming Languages Emerging Technologies System Implementation Supply Chain Planning Information Technology Electrical Engineering Continuous Integration Project Implementation Communications Protocols Event-Driven Programming C# (Programming Language) SQL (Programming Language) Industrial Control Systems Project Management Software Requirements Specifications Good Manufacturing Practices Python (Programming Language) Environment Health And Safety Security Requirements Analysis Continuous Improvement Process Enterprise Application Software Virtual Local Area Network (VLAN) Computer Integrated Manufacturing Software Development Methodologies Manufacturing Execution System (MES) Message Queuing Telemetry Transport (MQTT) Supervisory Control And Data Acquisition (SCADA), The OT Data Engineer - Unified Namespace is responsible for designing and implementing scalable industrial data solutions that enable real-time visibility and integration across manufacturing systems. This role supports Hershey’s Digital Factory initiatives by connecting Control Systems, Historians, MES, and ERP platforms through a unified, standards-based data architecture.

This Staff Engineer role contributes to enterprise OT data strategy, improving decision-making, operational efficiency, and digital capabilities across the manufacturing network., * Design, build, and maintain a Unified Namespace (UNS) architecture using MQTT-based technologies

• Develop semantic data models and hierarchical structures aligned to ISA-95 and ISA-88 standards
• Integrate PLC/SCADA, historians, MES, WMS, Production Planning, QMS, and ERP systems
• Implement and support HiveMQ, HighByte, and Ignition platforms
• Develop data pipelines and integrations using Python for scripting ETL jobs, API integrations, and automation
• Establish data governance standards and practices
• Enable real-time, event-driven data architectures
• Collaborate cross-functionally across OT, IT, and Engineering
• Support Digital Factory and MES initiatives
• Integrate and optimize historian platforms such as AVEVA PI, * This position focuses on the Operations Technology space and supports Hershey’s Manufacturing Supply Chain Network. Knowledge of factory floor automation systems is required.
• Travel as required for on-site support of manufacturing sites
• Occasional off-hours support as needed, AVEVA PI (Software) Business Development Network Architecture Supply Chain Network Microsoft Networking Marketing Operations Regulatory Compliance Programming Languages Emerging Technologies System Implementation Supply Chain Planning Information Technology Electrical Engineering Continuous Integration Project Implementation Communications Protocols Event-Driven Programming C# (Programming Language) SQL (Programming Language) Industrial Control Systems Project Management Software Requirements Specifications Good Manufacturing Practices Python (Programming Language) Environment Health And Safety Security Requirements Analysis Continuous Improvement Process Enterprise Application Software Virtual Local Area Network (VLAN) Computer Integrated Manufacturing Software Development Methodologies Manufacturing Execution System (MES) Message Queuing Telemetry Transport (MQTT) Supervisory Control And Data Acquisition (SCADA) +0

Salesforce Developer Staff Engineer OT Digital Systems Hershey Co. Hershey, PA*On-Site TCP/IP Modbus Firewall Robotics Ethernet Scripting Leadership Management Automation Mentorship Innovation Creativity OSI Models Procurement Supply Chain Microservices Business Case Data Strategy Accountability Lean Six Sigma Version Control Test Automation Data Structures Control Systems Process Control Cloud Computing Database Design Digital Systems Microsoft Access SAP Applications Control Networks Virtual Machines Strategic Planning Knowledge Transfer Business Valuation PROFINET Standards Implement Projects IEC 61131 Standard Automation Systems Production Planning Computing Platforms AVEVA PI (Software) Business Development Network Architecture Supply Chain Network Microsoft Networking Marketing Operations Regulatory Compliance Programming Languages Emerging Technologies System Implementation Supply Chain Planning Information Technology Electrical Engineering Continuous Integration Project Implementation Communications Protocols Event-Driven Programming C# (Programming Language) SQL (Programming Language) Industrial Control Systems Project Management Software Requirements Specifications Good Manufacturing Practices Python (Programming Language) Environment Health And Safety Security Requirements Analysis Continuous Improvement Process Enterprise Application Software Virtual Local Area Network (VLAN) Computer Integrated Manufacturing Software Development Methodologies Manufacturing Execution System (MES) Message Queuing Telemetry Transport (MQTT) Supervisory Control And Data Acquisition (SCADA)

Modbus Firewall Robotics Ethernet Scripting Leadership Management Automation Mentorship Innovation Creativity OSI Models Procurement Supply Chain Microservices Business Case Data Strategy Accountability Lean Six Sigma Version Control Test Automation Data Structures Control Systems Process Control Cloud Computing Database Design Digital Systems Microsoft Access SAP Applications Control Networks Virtual Machines Strategic Planning Knowledge Transfer Business Valuation PROFINET Standards Implement Projects IEC 61131 Standard Automation Systems Production Planning, Required:

• Bachelor’s degree in Engineering, Computer Science, or related field
• 5+ years of industrial data engineering or OT experience
• Experience with Unified Namespace and MQTT architectures
• Experience with HiveMQ, HighByte, or similar platforms
• Experience with Inductive Automation Ignition platform
• Experience integrating MES, ERP, and control systems
• Proficiency in Python and pipeline orchestration and transformation tools
• Knowledge of ISA-95, ISA-88, and data modeling
• Experience with OT data governance
• Experience with factory floor industrial manufacturing technology including PLCs, SCADA, Robotics

Preferred:

• Experience with AVEVA PI or other historians
• Familiarity with analytics, machine learning, and AI platforms; Databricks preferred
• Experience with APIs and event-driven architecture
• Experience with messaging tools such as Apache Kafka
• Understanding of OT cybersecurity

Key Capabilities:

• Strong analytical and system design skills
• Ability to translate manufacturing needs into scalable solutions
• Effective cross-functional collaboration
• Focus on reliability, scalability, and standardization