About the job
JOB SUMMARY
The SCADA Data Systems Engineer plays a crucial role in designing, implementing, maintaining, and optimizing Supervisory Control and Data Acquisition (SCADA) systems and plant data infrastructures. This position guarantees reliable data collection, integrity, visualization, and reporting to enhance manufacturing performance, automation, quality, and continuous improvement efforts.
Collaboration with automation, IT/OT, operations, maintenance, and engineering teams is essential to ensure secure, efficient, and compliant performance of data systems across all production environments.
DUTIES AND RESPONSIBILITIES
SCADA System Design, Development & Support
- Design, configure, program, and maintain SCADA systems, dashboards, and real-time visualization tools.
- Develop and modify HMI screens, alarm logic, historian tags, and data models.
- Ensure reliable connectivity between SCADA, PLCs, sensors, industrial networks, and enterprise systems.
Data Infrastructure & Historian Management
- Administer plant data historians, including tag configuration, storage architecture, and performance tuning.
- Build and maintain data pipelines for analysis, reporting, and operational decision-making.
- Develop and maintain automated reporting tools, KPIs, and production dashboards.
System Reliability, Troubleshooting & Cybersecurity
- Diagnose SCADA and data communication issues, performing root cause analysis and implementing corrective actions.
- Monitor system health, alarm performance, and data quality to maintain uptime and reliability.
- Collaborate with IT/OT teams to ensure compliance with cybersecurity standards, patching, and secure network design.
Project Engineering & Integration
- Lead and support SCADA and data system projects, including system upgrades, new line integrations, and automation expansions.
- Oversee contractor work, participate in FAT/SAT, and ensure alignment with facility standards.
- Document system architectures, workflows, and user guides.
Process Optimization & Continuous Improvement
- Utilize data analytics to identify trends, inefficiencies, and opportunities for improvement.
- Support OEE, yield, downtime reduction, and predictive maintenance initiatives through enhanced data visibility.
- Implement new digital tools to elevate manufacturing intelligence and automation performance.
Cross-Functional Collaboration
- Engage closely with operations, quality, maintenance, IT, and engineering teams to define data needs and implement SCADA solutions.
- Provide training and support for team members utilizing SCADA and plant data tools.
