Kafka Real-Time Data Engineer - Remote

BairesDev; Chile; Presencial; CLP 84.666.000 - 141.110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

USD payments

Home office setup

Flexible hours

Parental leave

Multicultural team

Descripción de la vacante

BairesDev is seeking a Software Engineer (Apache Kafka) to design and operate real-time data pipelines that power scalable streaming architectures across the enterprise.

You will build production-grade Kafka clusters, implement Kafka Connect/Streams, and define data schemas with Avro, collaborating with global engineering teams. This is a 100% remote role with flexible hours and competitive USD compensation.

Formación

• 4+ years of experience in Data Engineering, Software Engineering, or Stream Processing.
• Proficiency in building real-time data pipelines using Apache Kafka.
• Designing event-driven architectures at scale; hands-on with Kafka Streams, Confluent, and Avro.

Responsabilidades

• Design, implement, and manage production-grade Kafka clusters and streaming applications.
• Develop real-time data integration pipelines using Kafka Connect and Kafka Streams.
• Optimize cluster performance, topic configurations, and resource utilization for high-scale environments.
• Implement robust data schemas and versioning strategies using Avro and Confluent Schema Registry.
• Collaborate with engineering teams to define event-driven standards and streaming best practices.
• Ensure system availability and data integrity through proactive monitoring and disaster recovery planning.

Conocimientos

Kafka

Kafka Streams

Streaming pipelines

English

Herramientas

Confluent

Avro

Descripción del empleo

BairesDev is seeking a Software Engineer (Apache Kafka) to design and operate real-time data pipelines that power scalable streaming architectures across the enterprise.

You will build production-grade Kafka clusters, implement Kafka Connect/Streams, and define data schemas with Avro, collaborating with global engineering teams. This is a 100% remote role with flexible hours and competitive USD compensation.