Senior Remote Real-Time Streaming Engineer

BairesDev; Colombia; Presencial; COP 60.000.000 - 120.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

USD or local currency compensation

Hardware and software setup

Flexible hours

Paid parental leaves

Mentorship and growth opportunities

Descripción de la vacante

BairesDev is seeking a Software Engineer (Streaming) to design and build real-time data pipelines powering event-driven architectures. You will connect raw data sources with downstream analytics, ensuring high throughput, low latency, and reliability across the data platform.

You will work with Kafka/Confluent and streaming frameworks like Flink, Spark Streaming, or Kinesis, writing code in Java, Scala, or Python, and ensuring schema registry compatibility.

Formación

• 4+ years of experience in software or data engineering.
• Experience building real-time streaming pipelines with Kafka/Confluent.
• Hands-on with Flink, Spark Streaming, or Kinesis.
• Strong knowledge of event-driven patterns and schema registries.
• Proficiency in Java, Scala, or Python.
• Advanced English proficiency.

Responsabilidades

• Design and maintain production-grade streaming apps using Kafka/Confluent.
• Develop real-time data processing workflows.
• Maintain schema registries for data consistency.
• Optimize streaming jobs for throughput and exactly-once semantics.
• Build scalable data integrations using Java, Scala, or Python.
• Collaborate with data and infra teams for reliability and security.

Conocimientos

Kafka/Confluent

Flink

Spark Streaming

Kinesis

Java

Scala

Python

Schema registry

Event-driven design

English

Descripción del empleo

BairesDev is seeking a Software Engineer (Streaming) to design and build real-time data pipelines powering event-driven architectures. You will connect raw data sources with downstream analytics, ensuring high throughput, low latency, and reliability across the data platform.

You will work with Kafka/Confluent and streaming frameworks like Flink, Spark Streaming, or Kinesis, writing code in Java, Scala, or Python, and ensuring schema registry compatibility.