Hire a Kafka Developer
Get a pre-vetted Kafka expert for event streaming architectures and real-time data pipelines — AI-managed delivery.
Role: Kafka Developer (Data Engineering)
Kafka developers build event streaming architectures and real-time data pipelines using Apache Kafka. Our vetted talent handles Kafka Connect, Kafka Streams, schema registry, and building event-driven microservices at scale.
Skills We Vet
- Kafka Producers & Consumers: Expert
- Kafka Streams & KSQL: Advanced
- Kafka Connect & Connectors: Advanced
- Schema Registry & Avro: Advanced
Typical Projects
- Event Streaming Platform: Build event-driven architecture with Kafka topics, schema registry, and consumer groups. (80-180 hrs)
- Real-Time Data Pipeline: Stream data from multiple sources through Kafka to data warehouse with exactly-once delivery. (60-140 hrs)
- CDC Pipeline: Change data capture pipeline with Debezium and Kafka for real-time database replication. (40-100 hrs)
Hourly Rates
- AI PM: $2/hr — AI agent manages the project end-to-end with automated code reviews, testing, and deployment.
- Live PM: $3/hr — A human project manager coordinates your project with AI-augmented development workflows.
- Live PM + Dev: $5/hr — Dedicated human PM plus senior developer oversight for mission-critical projects.
Hiring Process
- Submit Your Requirements: Describe your project scope, technical needs, and timeline. Our AI analyzes your requirements and identifies the ideal skill profile.
- AI-Matched Talent Selection: Our platform matches you with pre-vetted developers whose expertise aligns with your tech stack, industry, and project complexity.
- Technical Vetting & Trial: Review candidate profiles, past work, and skill assessments. Start with a small paid trial task to validate the fit before committing.
- Kick-off & Ongoing Delivery: Once confirmed, your developer is onboarded immediately. Track progress via real-time dashboards, milestone reviews, and daily stand-ups.
Frequently Asked Questions
- When should I use Kafka?
- Kafka excels at high-throughput event streaming, real-time analytics, log aggregation, and event-driven microservices communication.
- Kafka vs RabbitMQ?
- Kafka is better for high-throughput event streaming and log processing. RabbitMQ is simpler for traditional message queuing with routing.
- Can they manage Kafka in production?
- Yes. Our developers handle cluster management, partition tuning, consumer lag monitoring, and scaling strategies for production Kafka.