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IoT Edge AI Data Engineer - Careers at Robert Half

Robert Half

IoT Edge AI Data Engineer - Careers at Robert Half

full-timePosted: Feb 4, 2026

Job Description

IoT Edge AI Data Engineer - Join a Pioneering Hi-TECH AI SaaS Company

Are you a passionate data engineer specializing in IoT edge computing and ready to transform raw sensor data into ML-ready streams? Robert Half Technology is excited to partner with a fast-growing, innovative SaaS company disrupting the industry with real-time AI and analytics. This direct hire FTE role offers a hybrid schedule in Pittsburgh, PA, and we're conducting interviews now with offers starting in January. If you have hands-on experience with edge devices like NVIDIA Jetson, MQTT protocols, and building device-to-cloud pipelines, apply today through Carrie Danger, SVP Permanent Placement at Robert Half.

About the Role

As an IoT Edge AI Data Engineer, you'll architect next-generation edge-to-cloud data pipelines for sensor-driven platforms. This isn't your typical data engineering position—it's focused on edge IoT data engineering, extracting data from disparate, complex sources on edge devices. Work with cutting-edge hardware, optimize on-prem systems, and ensure seamless integration with cloud services like AWS, Azure, or GCP. Ideal for F1/OPT candidates with the right skills, this role demands expertise in high-volume ingestion, real-time processing, and preparing data for AI/ML teams. Located in vibrant Pittsburgh, Pennsylvania, United States, enjoy a hybrid model blending innovation with work-life balance.

Key Responsibilities

Drive the core of IoT innovation with these critical duties:

  • Design and implement high-volume data ingestion pipelines spanning IoT devices, on-prem infrastructure, and cloud platforms using tools like Kinesis and Kafka.
  • Develop edge computing solutions on NVIDIA Jetson for near-real-time data processing, orchestration, and distribution.
  • Build frameworks to clean, validate, and prepare sensor, telemetry, and machine data for ML engineering.
  • Architect reliable edge-to-cloud connectivity and workflows, optimizing for scalability and resilience.
  • Leverage MQTT, telemetry protocols, and Python/C++ for hardware/software integration.
  • Handle data cleansing and ingestion from edge devices, tackling complex, disparate sources.

SEO keywords: IoT data pipelines, edge AI engineering, NVIDIA Jetson development, MQTT sensor data, cloud orchestration Pittsburgh jobs.

Required Qualifications

To excel, bring:

  • 3-4+ years in data engineering, specifically device-to-cloud IoT/edge pipelines.
  • Hands-on with edge hardware (NVIDIA Jetson) and low-level data work.
  • Proficiency in cloud services (AWS Kinesis, Azure, GCP), streaming (Kafka, MQTT), and orchestration.
  • Strong Python and C++ software engineering skills.
  • Proven experience in sensor/telemetry data, scalable ML/AI infrastructure, on-prem systems, and edge AI/IIoT.
  • Must-have: Data offloading from edge devices, hardware integration.

Why Join Us?

Robert Half places you at a fast-GTM SaaS disruptor offering up to $135K salary, incentives, and growth in IoT edge AI. Hybrid Pittsburgh role means flexibility in a tech hub. Work on pioneering projects powering real-time analytics. Confidential consideration—call Carrie Danger at 515-259-6087 or apply via LinkedIn. Tags: Robert Half careers, Pittsburgh tech jobs, IoT engineer roles. (Word count: 728)

Locations

  • Pittsburgh, Pennsylvania, United States

Salary

120,000 - 135,000 USD / yearly

Estimated Salary Rangehigh confidence

120,000 - 135,000 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • IoT Data Engineeringintermediate
  • Edge Computingintermediate
  • NVIDIA Jetsonintermediate
  • MQTTintermediate
  • Data Pipelinesintermediate
  • Sensor Data Processingintermediate
  • Cloud Data Services (AWS, Azure, GCP)intermediate
  • Pythonintermediate
  • C++intermediate
  • Data Orchestrationintermediate

Required Qualifications

  • 3–4+ years of data engineering experience designing and deploying device-to-cloud pipelines for IoT/edge environments (experience)
  • Hands-on experience with edge hardware such as NVIDIA Jetson and low-level data engineering (experience)
  • Proficiency in cloud data services, streaming, and orchestration (AWS, Azure, GCP, Kinesis, MQTT, Kafka) (experience)
  • Strong software engineering skills in Python and C++ (experience)
  • Deep knowledge of sensor/telemetry data and building scalable data infrastructure for ML/AI use cases (experience)
  • Experience with on-premises distributed systems and cloud integration (experience)
  • Prior work with edge AI or industrial IoT developing robust real-time data pipelines (experience)
  • Expertise in hardware/software integration, data cleansing, ingestion from edge devices (experience)

Responsibilities

  • Design and implement high-volume data ingestion pipelines for IoT systems from edge devices through on-prem infrastructure to cloud platforms
  • Develop edge computing solutions using 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 engineer infrastructure for reliable edge-to-cloud connectivity and data workflows
  • Optimize on-prem and distributed data flows for scalable, resilient performance
  • Handle data cleansing, ingestion, and engineering specifically for getting data off edge devices from disparate complex sources
  • Integrate hardware and software for real-time AI and analytics at the device-data-cloud intersection
  • Leverage technologies such as MQTT, Kinesis, Kafka, and related telemetry protocols

Benefits

  • general: Competitive salary up to $135K plus potential incentives
  • general: Direct Hire Full-Time Employee (FTE) position with stability
  • general: Hybrid work model in Pittsburgh, PA offering flexibility
  • general: Opportunity to work with cutting-edge edge hardware like NVIDIA Jetson
  • general: Join a fast-growing, innovative Hi-TECH AI SaaS industry disruptor
  • general: Collaborate on pioneering sensor-driven platforms powering real-time AI
  • general: Professional growth in IoT, edge AI, and ML data pipelines
  • general: Supportive team environment with immediate interviews and offers in January

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Robert Half logo

IoT Edge AI Data Engineer - Careers at Robert Half

Robert Half

IoT Edge AI Data Engineer - Careers at Robert Half

full-timePosted: Feb 4, 2026

Job Description

IoT Edge AI Data Engineer - Join a Pioneering Hi-TECH AI SaaS Company

Are you a passionate data engineer specializing in IoT edge computing and ready to transform raw sensor data into ML-ready streams? Robert Half Technology is excited to partner with a fast-growing, innovative SaaS company disrupting the industry with real-time AI and analytics. This direct hire FTE role offers a hybrid schedule in Pittsburgh, PA, and we're conducting interviews now with offers starting in January. If you have hands-on experience with edge devices like NVIDIA Jetson, MQTT protocols, and building device-to-cloud pipelines, apply today through Carrie Danger, SVP Permanent Placement at Robert Half.

About the Role

As an IoT Edge AI Data Engineer, you'll architect next-generation edge-to-cloud data pipelines for sensor-driven platforms. This isn't your typical data engineering position—it's focused on edge IoT data engineering, extracting data from disparate, complex sources on edge devices. Work with cutting-edge hardware, optimize on-prem systems, and ensure seamless integration with cloud services like AWS, Azure, or GCP. Ideal for F1/OPT candidates with the right skills, this role demands expertise in high-volume ingestion, real-time processing, and preparing data for AI/ML teams. Located in vibrant Pittsburgh, Pennsylvania, United States, enjoy a hybrid model blending innovation with work-life balance.

Key Responsibilities

Drive the core of IoT innovation with these critical duties:

  • Design and implement high-volume data ingestion pipelines spanning IoT devices, on-prem infrastructure, and cloud platforms using tools like Kinesis and Kafka.
  • Develop edge computing solutions on NVIDIA Jetson for near-real-time data processing, orchestration, and distribution.
  • Build frameworks to clean, validate, and prepare sensor, telemetry, and machine data for ML engineering.
  • Architect reliable edge-to-cloud connectivity and workflows, optimizing for scalability and resilience.
  • Leverage MQTT, telemetry protocols, and Python/C++ for hardware/software integration.
  • Handle data cleansing and ingestion from edge devices, tackling complex, disparate sources.

SEO keywords: IoT data pipelines, edge AI engineering, NVIDIA Jetson development, MQTT sensor data, cloud orchestration Pittsburgh jobs.

Required Qualifications

To excel, bring:

  • 3-4+ years in data engineering, specifically device-to-cloud IoT/edge pipelines.
  • Hands-on with edge hardware (NVIDIA Jetson) and low-level data work.
  • Proficiency in cloud services (AWS Kinesis, Azure, GCP), streaming (Kafka, MQTT), and orchestration.
  • Strong Python and C++ software engineering skills.
  • Proven experience in sensor/telemetry data, scalable ML/AI infrastructure, on-prem systems, and edge AI/IIoT.
  • Must-have: Data offloading from edge devices, hardware integration.

Why Join Us?

Robert Half places you at a fast-GTM SaaS disruptor offering up to $135K salary, incentives, and growth in IoT edge AI. Hybrid Pittsburgh role means flexibility in a tech hub. Work on pioneering projects powering real-time analytics. Confidential consideration—call Carrie Danger at 515-259-6087 or apply via LinkedIn. Tags: Robert Half careers, Pittsburgh tech jobs, IoT engineer roles. (Word count: 728)

Locations

  • Pittsburgh, Pennsylvania, United States

Salary

120,000 - 135,000 USD / yearly

Estimated Salary Rangehigh confidence

120,000 - 135,000 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • IoT Data Engineeringintermediate
  • Edge Computingintermediate
  • NVIDIA Jetsonintermediate
  • MQTTintermediate
  • Data Pipelinesintermediate
  • Sensor Data Processingintermediate
  • Cloud Data Services (AWS, Azure, GCP)intermediate
  • Pythonintermediate
  • C++intermediate
  • Data Orchestrationintermediate

Required Qualifications

  • 3–4+ years of data engineering experience designing and deploying device-to-cloud pipelines for IoT/edge environments (experience)
  • Hands-on experience with edge hardware such as NVIDIA Jetson and low-level data engineering (experience)
  • Proficiency in cloud data services, streaming, and orchestration (AWS, Azure, GCP, Kinesis, MQTT, Kafka) (experience)
  • Strong software engineering skills in Python and C++ (experience)
  • Deep knowledge of sensor/telemetry data and building scalable data infrastructure for ML/AI use cases (experience)
  • Experience with on-premises distributed systems and cloud integration (experience)
  • Prior work with edge AI or industrial IoT developing robust real-time data pipelines (experience)
  • Expertise in hardware/software integration, data cleansing, ingestion from edge devices (experience)

Responsibilities

  • Design and implement high-volume data ingestion pipelines for IoT systems from edge devices through on-prem infrastructure to cloud platforms
  • Develop edge computing solutions using 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 engineer infrastructure for reliable edge-to-cloud connectivity and data workflows
  • Optimize on-prem and distributed data flows for scalable, resilient performance
  • Handle data cleansing, ingestion, and engineering specifically for getting data off edge devices from disparate complex sources
  • Integrate hardware and software for real-time AI and analytics at the device-data-cloud intersection
  • Leverage technologies such as MQTT, Kinesis, Kafka, and related telemetry protocols

Benefits

  • general: Competitive salary up to $135K plus potential incentives
  • general: Direct Hire Full-Time Employee (FTE) position with stability
  • general: Hybrid work model in Pittsburgh, PA offering flexibility
  • general: Opportunity to work with cutting-edge edge hardware like NVIDIA Jetson
  • general: Join a fast-growing, innovative Hi-TECH AI SaaS industry disruptor
  • general: Collaborate on pioneering sensor-driven platforms powering real-time AI
  • general: Professional growth in IoT, edge AI, and ML data pipelines
  • general: Supportive team environment with immediate interviews and offers in January

Target Your Resume for "IoT Edge AI Data Engineer - Careers at Robert Half" , Robert Half

Get personalized recommendations to optimize your resume specifically for IoT Edge AI Data Engineer - Careers at Robert Half. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "IoT Edge AI Data Engineer - Careers at Robert Half" , Robert Half

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Robert Half CareersJobs in Pittsburgh, PAIoT Edge AIData Engineer PittsburghNVIDIA Jetson JobsFinanceAccountingAdmin

Answer 10 quick questions to check your fit for IoT Edge AI Data Engineer - Careers at Robert Half @ Robert Half.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.