

Senior Kafka Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Kafka Developer, lasting 12+ months, based in Jersey City, NJ, Dallas, TX, or Tampa, FL. Key skills include Kafka architecture, Java/Scala/Python proficiency, and cloud platform experience. Data security compliance knowledge is essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 31, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Dallas, TX
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π§ - Skills detailed
#Cloud #AWS (Amazon Web Services) #Java #Kafka (Apache Kafka) #Data Integration #Scala #Compliance #Deployment #GCP (Google Cloud Platform) #Data Security #Monitoring #Python #Security #Ansible #Azure #Data Pipeline #JSON (JavaScript Object Notation) #Distributed Computing
Role description
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Role - Senior Kafka Developer
Location - Jersey City, NJ or Dallas, TX, Tampa, FL (Day 1 Onsite)
Duration: 12+ months
Responsibilities:
β’ Designing, implementing, and managing Kafka-based data pipelines and messaging solutions.
β’ Configuring, deploying, and monitoring Kafka clusters to ensure high availability and scalability.
β’ Collaborating with cross-functional teams to integrate Kafka into various applications.
β’ Troubleshooting and resolving Kafka-related issues.
β’ Monitoring and optimizing Kafka cluster performance.
β’ Building and maintaining message configurations and flows.
β’ Developing and maintaining Kafka-based data pipelines.
β’ Ensuring data security compliance.
β’ Automating installations and deployments using tools like Ansible.
β’ Maintaining performance metrics and tuning clusters as needed.
Relevant Skills:
β’ Strong understanding of Kafka architecture.
β’ Proficiency in Java, Scala, or Python.
β’ Experience with Kafka Streams and KSQL.
β’ Knowledge of cloud platforms like AWS, Azure, or GCP.
β’ Familiarity with data formats like Avro and JSON.
β’ Experience with Schema Registry.
β’ Ability to write and deploy Kafka Connect applications.
β’ Knowledge of distributed computing concepts.
Quantifiable Achievements:
β’ Describe how your Kafka solutions have improved system scalability, reduced latency, or enabled real-time data analytics.
β’ Mention specific performance improvements achieved through cluster optimization.
β’ Highlight successful data integration efforts between different systems.
β’ Quantify the impact of your work on business goals, such as increased efficiency or faster decision-making.