Kafka Engineer

  • Buffalo Grove, IL
  • Posted 15 hours ago | Updated 15 hours ago

Overview

On Site
Hybrid
$50+
Contract - W2
Contract - Independent

Skills

KSQL DB Query
Apache Kafka
GCP
Azure

Job Details

Job description:

Role: Kafka Engineer
Experience: 8+ Years
Location: Plano, TX / Buffalo Grove, IL

About the Role

We are seeking an experienced Kafka Engineer with strong expertise in designing, building, and maintaining high-performance data streaming platforms. The ideal candidate will have hands-on experience with Confluent Kafka, KSQL DB queries, and cloud-based Kafka implementations, along with in-depth knowledge of Kafka internals, cluster management, and enterprise-grade messaging systems.

Key Responsibilities

  • Design, develop, and support enterprise-level Kafka Distributed Messaging and Integration Ecosystem.
  • Plan, install, configure, and administer Kafka clusters, ensuring high availability, scalability, and security.
  • Implement capacity planning, disaster recovery, data replication, and performance optimization strategies.
  • Develop and optimize KSQL DB queries for real-time data processing and analytics.
  • Collaborate with cross-functional teams to support data pipelines, network, compute, and storage integrations.
  • Create and maintain documentation, runbooks, and best-practice guides for Kafka implementation and management.
  • Provide troubleshooting, root-cause analysis, and performance tuning for production environments.

Required Skills

  • 8+ years of IT experience with at least 5+ years in Apache Kafka.
  • Strong hands-on experience with Confluent Kafka Platform.
  • Expertise in KSQL DB Query for real-time analytics.
  • Deep knowledge of Kafka internals, cluster architecture, partitions, replication, and security.
  • Experience with serialization formats such as Apache Avro.
  • Exposure to cloud technologies like Google Cloud Platform and Azure.
  • Strong understanding of disaster recovery planning and platform administration.

Good to Have

  • Prior experience with Confluent Kafka implementation projects.
  • Familiarity with cloud-native Kafka deployments and container orchestration platforms (e.g., Kubernetes, Docker).
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