Senior Java & Trino SQL Engineer — Remote & Flexible Hours

BairesDev

United States

Remote

CLP 117,188,000 - 175,781,000

Full time

41 hours ago
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Benefits offered by this job

Remote work 100%
USD or local currency compensation
Hardware provided
Flexible hours
Paid parental leave
Vacations & holidays
Mentorship & growth
Multicultural global team

Job summary

BairesDev is seeking a Senior Java, Apache Trino, and SQL Engineer to design and optimize distributed query engines and high-performance backend architectures. You will contribute to our large-scale data processing infrastructure, enabling fast, reliable access to enterprise data across diverse sources.

You will work remotely with a global team, shaping cloud-native deployments, testing strategies, and performance tuning while collaborating with engineering peers on scalable solutions and career

Qualifications

  • 5+ years of experience in software/data engineering or related field.
  • Proven expertise with Apache Trino and SQL.
  • Strong hands-on Java development and distributed backend architectures.
  • Solid understanding of CI/CD, containerization, and cloud-native development.
  • Advanced proficiency in English.

Responsibilities

  • Develop and optimize distributed query workloads to minimize latency and handle large-scale datasets.
  • Build robust and scalable backend architectures using Java frameworks.
  • Implement containerization and CI pipelines for cloud-native deployments.
  • Collaborate with teams to design automated testing strategies ensuring reliability.
  • Tune JVM performance and memory management for distributed DB systems.

Skills

Java
Apache Trino
SQL
Distributed systems
CI/CD
Cloud-native
English proficiency

Education

Bachelor's degree in Computer Science or related field

Tools

Docker
Kubernetes
CI/CD pipelines

Job description

BairesDev is seeking a Senior Java, Apache Trino, and SQL Engineer to design and optimize distributed query engines and high-performance backend architectures. You will contribute to our large-scale data processing infrastructure, enabling fast, reliable access to enterprise data across diverse sources.

You will work remotely with a global team, shaping cloud-native deployments, testing strategies, and performance tuning while collaborating with engineering peers on scalable solutions and career

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