Senior SCADA & OT Data Engineer

Globalchannelmanagement; Tulsa (OK); On-site; USD 85,000 - 120,000; Full time

Job summary

Globalchannelmanagement seeks a SCADA Analyst IV to lead data-driven operational improvements in OT/SCADA environments. You will work with PLC data, cloud platforms, and analytics to ensure reliable data flows and rapid issue resolution.

Responsibilities include diagnosing complex OT data issues, collaborating with cross-functional teams, and applying best-practice data engineering and programming to optimize energy systems.

Qualifications

• Bachelor's degree (implied by experience)
• Minimum eight years' experience in SCADA or leadership role
• Experience with ClearSCADA, AutoSol, Kepware and OPC protocols
• Knowledge of SCADA, industrial communication protocols and OT systems
• Experience with Databricks, SQL, Python and Power BI
• Cloud technologies – Azure and/or AWS
• Understanding of end-to-end data flows in OT/SCADA environments
• Telecom/instrumentation knowledge within OT data flows
• Platform-agnostic SCADA experience (Ignition or similar acceptable)
• Excellent organizational and interpersonal skills with safety prioritized
• Strong collaboration and communication skills
• Extensive SQL experience and data issue diagnosis
• Windows programming (preferred: Python, VBScript, Ladder Logic)
• Database development/management (preferred)

Skills

Programming capabilities

Interpersonal skills

OT data flows understanding

Data engineering

Tools

SCADA knowledge

Azure/AWS cloud

Databricks

Python

C#

SQL

Power BI

OPC/Modbus/DNP3/MQTT

Flow Computer Protocols

Office applications

VBScript/Ladder Logic

Database development/management

Job description

Globalchannelmanagement seeks a SCADA Analyst IV to lead data-driven operational improvements in OT/SCADA environments. You will work with PLC data, cloud platforms, and analytics to ensure reliable data flows and rapid issue resolution.

Responsibilities include diagnosing complex OT data issues, collaborating with cross-functional teams, and applying best-practice data engineering and programming to optimize energy systems.