Remote Senior Apache Spark Engineer - Backend & Data

BairesDev; United States; Remote; CLP 112,888,000 - 150,517,000; Full time

Benefits offered by this job

Remote work

USD salary option

Hardware provided

Flexible hours

Paid parental leaves

Mentorship & growth

Job summary

BairesDev is a global technology company delivering cutting-edge data solutions. As a Senior Apache Spark Engineer, you will design high-performance data processing applications and collaborate with engineering teams to build scalable backend architectures.

This role is 100% remote, with flexible hours and USD compensation. You’ll work on cloud-native pipelines, implement CI/CD, and help ensure robust data workflows across large datasets.

Qualifications

• 5+ years of software engineering experience.
• Proven expertise with Apache Spark for large-scale data processing.
• Strong Java development experience and distributed systems knowledge.
• Solid understanding of automated testing, CI/CD, and containerization.
• Experience with cloud-native development and backend architectures.
• Advanced English proficiency.

Responsibilities

• Architect and implement distributed data processing applications using Apache Spark.
• Develop and optimize backend services and scalable distributed architectures in Java.
• Build and maintain CI/CD pipelines to automate software delivery.
• Design containerized solutions and deploy with cloud-native services.
• Establish automated testing frameworks to ensure code quality and pipeline stability.

Skills

Apache Spark

Java

Distributed systems

CI/CD

Cloud-native development

Testing frameworks

English communication

Job description

BairesDev is a global technology company delivering cutting-edge data solutions. As a Senior Apache Spark Engineer, you will design high-performance data processing applications and collaborate with engineering teams to build scalable backend architectures.

This role is 100% remote, with flexible hours and USD compensation. You’ll work on cloud-native pipelines, implement CI/CD, and help ensure robust data workflows across large datasets.