IoT / Real-Time Data Engineer

We are seeking an IoT / Real-Time Data Engineer to design and implement secure, scalable data solutions for sensors, connected devices, telemetry, facilities systems, transportation assets, and airport operational platforms. This role will focus on event-driven and near-real-time data ingestion, integrating operational technology with modern data platforms using Microsoft Fabric and related streaming technologies.

Duration of contract: Through 12/31/2027 with high potential to extend into 2028

Location: Remote

Citizenship: Must be US Citizen or Green Card Holder. No 3rd parties. Compensation on W2 or 1099.

Key Responsibilities

• Design and implement real-time data ingestion solutions for IoT devices, sensors, facilities systems, and operational technology platforms.
• Build event-driven integrations using gateways, message brokers, APIs, Microsoft Fabric Eventstreams, Real-Time Intelligence, and KQL databases.
• Configure and support MQTT and BACnet/BACnet IP connectivity, including protocol gateways, device interoperability, topic structures, and payload design.
• Develop reliable telemetry ingestion processes with appropriate event schemas, timestamps, latency controls, and data-quality standards.
• Monitor streaming pipelines and troubleshoot connectivity, data loss, delayed events, and processing failures.
• Implement secure device connectivity, authentication, access controls, and scalable data integration patterns.
• Collaborate with data architects, platform engineers, facilities teams, and operational stakeholders to translate business requirements into technical solutions.
• Document integration designs, data flows, protocols, operational standards, and recovery procedures.

Required Qualifications

• Experience developing IoT, streaming data, or real-time data integration solutions.
• Knowledge of sensors, telemetry, connected devices, facilities systems, or industrial/operational technology.
• Experience with event-driven ingestion, gateways, message brokers, APIs, or streaming platforms.
• Familiarity with MQTT and BACnet/BACnet IP, including device connectivity and protocol integration.
• Understanding of event schemas, topic and payload design, interoperability, latency, and telemetry data quality.
• Experience with Microsoft Fabric Eventstreams, Real-Time Intelligence, KQL databases, or comparable real-time data technologies.
• Strong troubleshooting, integration design, documentation, and cross-functional collaboration skills.

Preferred Qualifications

• Experience with airport operational systems, transportation assets, building management systems, or industrial IoT.
• Familiarity with Azure data services, Kafka, Azure Event Hubs, or similar streaming technologies.
• Experience with late-arriving data, event ordering, duplicate handling, monitoring, and recovery.
• Knowledge of secure IoT architecture, scalable data platforms, and operational technology standards.

Ideal Candidate

The ideal candidate combines hands-on IoT and streaming integration experience with a strong understanding of operational technology protocols. They can connect diverse devices and systems to modern data platforms while ensuring data is secure, reliable, timely, and suitable for operational analytics.