Industrial Data Systems Engineer

This role involves designing, implementing, and supporting advanced data infrastructure and visualization platforms used to drive production insights and digital transformation initiatives.

Requirements:

• Design, configure, and deploy real-time data infrastructure components, including asset frameworks, data interfaces/connectors, and visualization tools.
• Integrate real-time data platforms with existing industrial control systems such as SCADA, DCS, PLCs, and other OT/IT systems.
• Develop and maintain asset models and analytics to enable actionable insights for operations and business stakeholders.
• Build and manage operational dashboards and reports for plant and management teams.
• Perform upgrades, system maintenance, and troubleshooting to ensure optimal system performance and data integrity.
• Support data governance, security, and quality standards across real-time data systems.
• Collaborate with cross-functional teams to gather requirements and deliver tailored solutions.
• Provide training and documentation to ensure effective system adoption.
• Contribute to project planning, testing, and commissioning phases for new or upgraded solutions.

Requirements:

• Bachelor's degree in Engineering, Computer Science, or a related discipline.
• 5+ years of experience in real-time industrial data systems design, configuration, and support.
• Strong experience with data infrastructure platforms used for time-series data collection and visualization in manufacturing or industrial settings.
• Proficiency in building asset models, dashboards, and data integrations with industrial equipment.
• Familiarity with industrial communication protocols (OPC, Modbus, etc.).
• Background working in regulated industries, such as pharmaceuticals or other GxP environments.
• Knowledge of scripting or automation tools (e.g., PowerShell, Python, or VBScript) is a plus.
• Excellent problem-solving, collaboration, and communication skills.