

Wise Skulls
Python Developer
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer specializing in RFID systems, requiring a Master's degree and 3+ years in RFID/IOT. Contract length is 6+ months, with a hybrid work location in Dallas, TX. Key skills include Python, Kafka, and CI/CD expertise.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
Unknown
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๐๏ธ - Date
October 8, 2025
๐ - Duration
More than 6 months
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๐๏ธ - Location
Hybrid
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๐ - Contract
Unknown
-
๐ - Security
Unknown
-
๐ - Location detailed
Dallas, TX
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๐ง - Skills detailed
#Cloud #C++ #Data Science #Kafka (Apache Kafka) #REST (Representational State Transfer) #Java #MQTT (Message Queuing Telemetry Transport) #Computer Science #Scala #Data Pipeline #Programming #Deployment #Docker #Kubernetes #Python #IoT (Internet of Things)
Role description
Now Hiring: Python Developer โ RFID Systems (Hybrid | Dallas, TX)
Location: Dallas, TX (Hybrid)
Duration: 6+ Months (Long-Term)
About the Role
Join a cutting-edge Computer Vision & IoT innovation team driving the next generation of RFID-based intelligence systems. As a Python Developer (RFID), youโll help build and optimize real-time RFID data pipelinesโfrom signal capture to scalable event streamingโenabling seamless integration with advanced Computer Vision platforms.
Must-Have Skills
โข Masterโs degree or higher in Electrical/Computer Engineering, Computer Science, or related field
โข 3+ years of hands-on experience in RFID, IoT, or large-scale data pipeline development
โข Strong programming skills in Python, Java, or C++, with focus on distributed and real-time systems
โข Proven experience with data streaming/messaging frameworks such as Kafka, MQTT, RabbitMQ, etc.
โข Expertise in server deployment, CI/CD pipelines, and containerization (Docker/Kubernetes)
โข Solid understanding of RFID/IoT protocols (EPC Gen2, LLRP, gRPC, REST)
Key Responsibilities
โข Design and maintain robust RFID event streaming pipelines
โข Deploy and optimize on-premise and cloud-based server infrastructures
โข Build and manage CI/CD pipelines for rapid deployment and testing
โข Work with Kafka/MQTT/RabbitMQ for high-volume data transmission
โข Collaborate with Computer Vision, Data Science, and Platform teams to align RFID data with real-world tracking use cases
๐ฉ Interested? Apply now or DM us to explore this exciting opportunity! You can share resumes at imran@wiseskulls.com OR you can call us directly on +1 (669) 309-1707
Now Hiring: Python Developer โ RFID Systems (Hybrid | Dallas, TX)
Location: Dallas, TX (Hybrid)
Duration: 6+ Months (Long-Term)
About the Role
Join a cutting-edge Computer Vision & IoT innovation team driving the next generation of RFID-based intelligence systems. As a Python Developer (RFID), youโll help build and optimize real-time RFID data pipelinesโfrom signal capture to scalable event streamingโenabling seamless integration with advanced Computer Vision platforms.
Must-Have Skills
โข Masterโs degree or higher in Electrical/Computer Engineering, Computer Science, or related field
โข 3+ years of hands-on experience in RFID, IoT, or large-scale data pipeline development
โข Strong programming skills in Python, Java, or C++, with focus on distributed and real-time systems
โข Proven experience with data streaming/messaging frameworks such as Kafka, MQTT, RabbitMQ, etc.
โข Expertise in server deployment, CI/CD pipelines, and containerization (Docker/Kubernetes)
โข Solid understanding of RFID/IoT protocols (EPC Gen2, LLRP, gRPC, REST)
Key Responsibilities
โข Design and maintain robust RFID event streaming pipelines
โข Deploy and optimize on-premise and cloud-based server infrastructures
โข Build and manage CI/CD pipelines for rapid deployment and testing
โข Work with Kafka/MQTT/RabbitMQ for high-volume data transmission
โข Collaborate with Computer Vision, Data Science, and Platform teams to align RFID data with real-world tracking use cases
๐ฉ Interested? Apply now or DM us to explore this exciting opportunity! You can share resumes at imran@wiseskulls.com OR you can call us directly on +1 (669) 309-1707