Net2Source Inc.
Big Data Embedded Lead Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Big Data Embedded Lead Developer, requiring 12+ years of experience. Key skills include C++, Java, Apache Kafka, and Kubernetes. The contract lasts 12+ months, with remote work based in Reading, PA, and a focus on edge systems and IoT protocols.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 20, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#IoT (Internet of Things) #Cloud #C++ #Data Pipeline #Kubernetes #Apache Kafka #MQTT (Message Queuing Telemetry Transport) #Kafka (Apache Kafka) #S3 (Amazon Simple Storage Service) #Big Data #Data Architecture #Docker #Athena #Java #Spring Cloud #AWS (Amazon Web Services) #Deployment #Embedded Systems
Role description
Role name: Big Data Embedded systems lead developer
Work site: Reading, PA (Remote)
Duration: 12+ Months
Job Description:
• 12+ Years of experience is required.
• Edge Development: Strong proficiency in C++ for embedded/edge systems; experience with containerization (Docker) on edge devices.
• Big Data Technologies: Hands-on experience with Apache Kafka, Apache Flink, Spring Cloud Data Flow, and streaming data architectures is preferred
• Java Development: Proficient in Java for building data pipeline applications
• Container Orchestration: Production experience with Kubernetes deployment and management is preferred
• AWS Services: Working knowledge of S3, Athena, and AWS data ecosystem
• IoT Protocols: Understanding of MQTT, CoAP, or similar IoT communication protocols
Role name: Big Data Embedded systems lead developer
Work site: Reading, PA (Remote)
Duration: 12+ Months
Job Description:
• 12+ Years of experience is required.
• Edge Development: Strong proficiency in C++ for embedded/edge systems; experience with containerization (Docker) on edge devices.
• Big Data Technologies: Hands-on experience with Apache Kafka, Apache Flink, Spring Cloud Data Flow, and streaming data architectures is preferred
• Java Development: Proficient in Java for building data pipeline applications
• Container Orchestration: Production experience with Kubernetes deployment and management is preferred
• AWS Services: Working knowledge of S3, Athena, and AWS data ecosystem
• IoT Protocols: Understanding of MQTT, CoAP, or similar IoT communication protocols
