IoT Edge Data Engineer - HiTech AI SaaS Company Direct Hire FTE Position

IoT Edge Data Engineer

Job Posting: IoT Edge Data Engineer – Hi-TECH AI SaaS Company - Direct Hire FTE Position

LOCATION: Pittsburgh PA

HYBRID IN PITTSBURGH PA

WORK AUTHORIZATION: F1 OR OPT CONSIDERED for the right candidate

***** APPLY TODAY IF YOU HAVE EDGE DEVICE IOT DATA ENGINEERING, INTERVIEWS RIGHT AWAY .....POTENTIAL OFFER BEFORE END OF 2025!!!!*****

Are you passionate about powering real-time AI and analytics at the intersection of devices, data, and the cloud? Our fast-growing, innovative SaaS fast GTM fast growing, industry disruptor is seeking an experienced IoT Edge Data Engineer to architect and build the next generation of edge-to-cloud data pipelines supporting distributed, sensor-driven platforms. You’ll be working with cutting-edge edge hardware, including NVIDIA Jetson, and developing solutions that transform raw sensor data into powerful, ML-ready streams and data pipelines.

YOU MUST HAVE: Data cleansing, data ingestion, and data engineering dealing with disparate complex data sources and getting data OFF OF Edge devices!!! THIS IS NOT A data science / data engineering typical role, you must have the EDGE IoT device experience.

**** To be considered on this pioneering team to Carrie Danger, Robert Half Technology / SVP Permanent Placement and apply to this position.

Key Responsibilities:

• Design and implement high-performance data ingestion pipelines for IoT systems, from device through on-premises infrastructure to cloud platforms.
• Develop edge computing solutions leveraging platforms like NVIDIA Jetson for near-real-time data processing, orchestration, and distribution.
• Build robust frameworks to clean, validate, and prepare sensor, telemetry, and machine data for downstream ML engineering teams.
• Architect and software engineer, infrastructure for reliable edge-to-cloud connectivity and data workflows,
• Looking for experience: using technologies such as MQTT, Kinesis, and related telemetry protocols.
• You MUST HAVE on prem hardware device experience: Optimize on-prem and distributed data flows for scalable, resilient performance.

What we’re looking for:

• 3–4 years of data engineering experience—ideally designing and deploying device-to-cloud pipelines for IoT/edge environments.
• Hands-on experience with edge hardware (e.g., NVIDIA Jetson) and low-level data processing.
• Proficient in cloud data services, streaming, and orchestration (AWS, Azure, GCP, Kinesis, MQTT, Kafka, etc.).
• Data cleansing, data ingestion, and data engineering dealing with disparate complex data sources and getting data OFF OF Edge devices!!!
• MUST HAVE SKILLS: MQTT, Telemetry, Sensor Data, Data Pipeline, Edge Computing, On-Prem, Device to Cloud, Data Orchestration
• Strong software engineering skills: Python, C , or similar.
• Deep knowledge of sensor/telemetry data and proven capability in building scalable data infrastructure for ML/AI use cases.
• Experience with on-premises distributed systems and cloud integration. End to end data solutions
• Comfortable in a fast-paced, product-driven startup environment.

Highly Desirable:

• Prior work with edge AI or industrial IoT, developing robust real-time data pipelines.
• Experience preparing and optimizing data for machine learning and advanced analytics.
• Exposure to hardware/software integration in distributed, production-grade environments.

Keywords for Search: IoT Edge, Edge Data Engineer, NVIDIA Jetson,

Join our dynamic team and help shape how the world’s data moves from the edge to the cloud, powering next-generation AI solutions. Apply today to drive innovation in a high-impact engineering role.

Direct Hire FTE direct hire position up to $140K, plus potential other incentives. For immediate and confidential consideration on this IoT Edge Data Engineer = Hybrid in the Pittsburgh PA or Des Moines Iowa Market, please call Carrie Danger, SVP at 515-259 6087, or apply confidentially via LinkedIn. Your resume will not be submitted to any client companies without your direct permission.