IoT Data Engineer

PROPWR • Midland, TX

22h

About The Position

The IoT Data Engineer is responsible for designing, building, and maintaining scalable IoT data pipelines and platforms that support real-time and batch analytics across field operations. This role focuses on integrating IoT telemetry from edge devices into the enterprise data ecosystem, ensuring reliability, data quality, and operational visibility as deployments scale. The position works closely with Operations, OT, IT, and Analytics teams to support IoT device onboarding, monitoring, and data ingestion while enabling long-term improvements to streaming pipelines, data architecture, and analytics readiness.

Requirements

• Bachelor’s degree in Computer Science, IoT Data Engineering, or related field
• 3 years’ relevant experience in telemetry data pipelines and analytics
• 3 years’ experience managing mid-to-large projects
• Strong critical and analytical thinking skills, able to problem solve issues and provide effective solutions
• Experience with Linux, Azure services, Grafana
• Willing and able to reach out for help with the required skill sets
• Good verbal and written communication skills, able to effectively interact with vendors, diverse stakeholders, and personnel at all levels of the organization
• Personable, possesses strong teamwork and collaboration skills

Responsibilities

• Design, build, and maintain scalable IoT data pipelines using Azure services such as IoT Hub, Event Hubs, and Azure Data Lake.
• Implement streaming and batch ingestion patterns for IoT telemetry, alarms, and operational events.
• Support day-to-day IoT operations, including device onboarding, configuration, monitoring, and troubleshooting
• Maintain dashboards and alerts for IoT health, telemetry flow, and system reliability using tools such as Grafana and Azure Monitor.
• Act as a point of contact for IoT operational issues and coordinate resolution with internal teams and vendors.
• Assist in stabilizing and scaling IoT deployments across multiple crews and locations.
• Implement data validation, monitoring, and quality checks for IoT telemetry and event streams.
• Ensure metadata capture, traceability, and operational logging for IoT data pipelines.
• Improve system reliability through error handling, replay strategies, and recovery mechanisms for streaming data.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level