Remote Senior Apache Spark Engineer | Data Pipelines

BairesDev; Chile; A distancia; CLP 111.317.000 - 166.976.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Competitive USD compensation

Hardware and software setup for home

Flexible hours

Paid parental leaves

Generous vacation and holidays

Global, multicultural environment

Mentorship and growth opportunities

Descripción de la vacante

BairesDev is seeking a Senior Apache Spark Engineer to design and develop high-performance data processing applications for scalable backend architectures. You will collaborate with engineering teams to ensure robust distributed systems and efficient data pipelines.

The role requires 5+ years in software engineering, expertise in Spark and Java, and strong CI/CD, testing, and containerization skills. This is a 100% remote position with competitive USD compensation and global collaboration.

Formación

• 5+ years of experience in Software Engineering or a related field.
• Proven expertise in Apache Spark for large-scale data processing.
• Strong hands-on experience in advanced Java development and distributed systems.
• Solid understanding of automated testing, CI/CD, and containerization.
• Experience with cloud-native development and backend architectures.
• Advanced proficiency in English.

Responsabilidades

• Architect and implement distributed data processing applications using Apache Spark.
• Develop and optimize robust backend services and scalable distributed architectures using Java.
• Build and maintain continuous integration and deployment pipelines to automate software delivery.
• Design containerized solutions and leverage cloud-native services to deploy reliable systems.
• Establish automated testing frameworks to guarantee code quality and pipeline stability.

Conocimientos

Apache Spark

Java

CI/CD

Containerization

Cloud-native development

English

Software Engineering

Descripción del empleo

BairesDev is seeking a Senior Apache Spark Engineer to design and develop high-performance data processing applications for scalable backend architectures. You will collaborate with engineering teams to ensure robust distributed systems and efficient data pipelines.

The role requires 5+ years in software engineering, expertise in Spark and Java, and strong CI/CD, testing, and containerization skills. This is a 100% remote position with competitive USD compensation and global collaboration.