Kafka Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Kafka Developer in Los Angeles, CA, on a long-term contract. Key skills include Kafka, data engineering, and real-time data processing (Kafka Streams/Spark/Flink). Experience in building scalable data pipelines and system integration is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 10, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Los Angeles, CA
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🧠 - Skills detailed
#Security #Data Processing #Kafka (Apache Kafka) #Spark (Apache Spark) #Scala #DevOps #Data Engineering #Data Pipeline
Role description
Job Title: Kafka Developer
Location: Los Angeles, CA (Onsite)
Duration: Long Term Contract
Job Description:
• We are seeking a skilled Kafka Developer to design, develop, and maintain real-time data streaming solutions.
• The ideal candidate should have strong experience in building scalable data pipelines, integrating Kafka with multiple systems, and ensuring high availability and performance of messaging systems.
Responsibilities:
• Design, develop, and deploy Kafka-based data streaming solutions.
• Build and manage Kafka topics, partitions, producers, and consumers.
• Integrate Kafka with external systems using Kafka Connect and custom connectors.
• Implement real-time data processing using Kafka Streams/Spark/Flink (as applicable).
• Ensure high availability, reliability, and scalability of the Kafka ecosystem.
• Monitor, troubleshoot, and optimize Kafka clusters for performance and security.
• Collaborate with cross-functional teams (data engineering, DevOps, and application developers).
Job Title: Kafka Developer
Location: Los Angeles, CA (Onsite)
Duration: Long Term Contract
Job Description:
• We are seeking a skilled Kafka Developer to design, develop, and maintain real-time data streaming solutions.
• The ideal candidate should have strong experience in building scalable data pipelines, integrating Kafka with multiple systems, and ensuring high availability and performance of messaging systems.
Responsibilities:
• Design, develop, and deploy Kafka-based data streaming solutions.
• Build and manage Kafka topics, partitions, producers, and consumers.
• Integrate Kafka with external systems using Kafka Connect and custom connectors.
• Implement real-time data processing using Kafka Streams/Spark/Flink (as applicable).
• Ensure high availability, reliability, and scalability of the Kafka ecosystem.
• Monitor, troubleshoot, and optimize Kafka clusters for performance and security.
• Collaborate with cross-functional teams (data engineering, DevOps, and application developers).
