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Description

IoT Edge AI Data Engineer

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

WORK AUTHORIZATION: F1 OR OPT CONSIDERED for the right candidate

***** APPLY TODAY IF YOU HAVE EDGE DEVICE IOT DATA ENGINEERING, INTERVIEWS NOW....OFFER IN JANUARY!

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 AI Data Engineer to architect and build the next generation of edge-to-cloud data pipelines supporting 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.*

KEYS:

Design & implement high volume data ingestion pipelines for IoT systems, from device through on-prem infrastructure to cloud platforms.

Develop edge computing solutions leveraging platforms like NVIDIA Jetson for near-real-time data processing, orchestration, & 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.

YOU NEED:

3–4+ years of data engineering experience—MUST 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 engineering.

Proficient in cloud data services, streaming, and orchestration (AWS, Azure, GCP, Kinesis, MQTT, Kafka, etc.).

Data cleansing, data ingestion, and data engineering dealing with 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++.

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 & cloud integration.

Prior work with edge AI or industrial IoT, developing robust real-time data pipelines.

hardware/software integration

Direct Hire FTE direct hire position up to $135K, plus potential other incentives. For immediate & confidential consideration on this IoT Edge AI Data Engineer = Hybrid in the Pittsburgh PA or Des Moines Iowa Market, please call Carrie Danger, SVP at 515-259 6087, or apply via LinkedIn.

Requirements

3–4+ years of data engineering experience—MUST 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 engineering.

Proficient in cloud data services, streaming, and orchestration (AWS, Azure, GCP, Kinesis, MQTT, Kafka, etc.).

Data cleansing, data ingestion, and data engineering dealing with getting data OFF OF Edge devices!!!

MUST HAVE SKILLS: MQTT, Telemetry, Sensor Data, Data Pipeline, Edge Computing, On-Prem, Device to Cloud, Data Orchestration

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