Real-Time Data Engineer - Remote & Flexible Hours

BairesDev; United States; À distance; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

100% remote

USD salary or local currency

Hardware provided

Flexible hours

Parental leave & holidays

Résumé du poste

BairesDev is seeking a Real-Time Data Engineer to design and build high-performance streaming pipelines ensuring instant data availability across systems.

You'll work with Java, Scala, or Python to implement production-grade pipelines using Kafka, Flink, or Kinesis, and collaborate with cross-functional teams to define standards and monitoring. This 100% remote role offers flexible hours and competitive USD compensation.

Qualifications

• 4+ years of experience in Data Engineering, Software Engineering, or Stream Processing.
• Proven expertise in building real-time data pipelines using Apache Kafka, Flink, or Kinesis.
• Proficiency in Java, Scala, or Python for developing event-driven applications.
• Strong understanding of schema management, event-driven patterns, and data consistency.
• Experience with cloud-based streaming services and distributed systems at scale.
• Advanced proficiency in English.

Responsabilités

• Design and implement production-grade real-time data pipelines using Apache Kafka, Flink, or Kinesis.
• Develop event-driven architectures to support low-latency data processing and sub-second decision-making.
• Manage schema governance and evolution using schema registries to ensure data compatibility across systems.
• Optimize streaming jobs for high throughput, fault tolerance, and exactly-once processing semantics.
• Build and maintain robust integrations between event sources and downstream sinks using Java, Scala, or Python.
• Collaborate with cross-functional teams to define real-time data standards and operational monitoring strategies.

Connaissances

Java

Scala

Python

Kafka

Flink

Kinesis

Event-driven architecture

Data streaming

Formation

Bachelor's degree in Computer Science or related

Outils

Apache Kafka

Apache Flink

AWS Kinesis

Description du poste

BairesDev is seeking a Real-Time Data Engineer to design and build high-performance streaming pipelines ensuring instant data availability across systems.

You'll work with Java, Scala, or Python to implement production-grade pipelines using Kafka, Flink, or Kinesis, and collaborate with cross-functional teams to define standards and monitoring. This 100% remote role offers flexible hours and competitive USD compensation.