Senior Scala & Spark Engineer - Remote & Flexible Hours

BairesDev; Chile; A distancia; CLP 117.417.000 - 176.125.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote

Competitive USD or local currency

Hardware and software setup

Flexible hours

Paid parental leave and holidays

Multicultural global team

Descripción de la vacante

BairesDev is seeking a Senior Scala (Apache Spark) Developer to lead complex Spark implementations and mentor team members. You will design and optimize data-intensive applications, implement advanced transformations, and contribute to Spark’s evolution.

Join a global, 100% remote team delivering cutting-edge solutions in the data engineering space. The role requires deep Spark knowledge, strong Scala skills, and excellent English communication for collaboration across time zones.

Formación

• 10+ years of software development experience.
• Strong expertise in Scala and JVM optimization.
• Deep understanding of Spark internals, Catalyst optimizer, and Tungsten execution engine.
• Experience building large-scale, fault-tolerant Spark pipelines.
• Proven track record of contributions to Spark or other Apache projects.
• Advanced level of English.

Responsabilidades

• Contribute actively to Apache Spark and related open source projects as a core contributor.
• Lead development of distributed data applications using Scala and Spark APIs.
• Implement advanced Dataset and typed transformations with Scala’s functional features.
• Drive performance tuning and memory optimization in Spark applications.
• Mentor junior developers and review Scala/Spark code for best practices.

Conocimientos

Scala

Functional programming

JVM optimization

Spark internals

Distributed data pipelines

Mentoring

English communication

Herramientas

Apache Spark

Catalyst optimizer

Tungsten execution engine

Descripción del empleo

BairesDev is seeking a Senior Scala (Apache Spark) Developer to lead complex Spark implementations and mentor team members. You will design and optimize data-intensive applications, implement advanced transformations, and contribute to Spark’s evolution.

Join a global, 100% remote team delivering cutting-edge solutions in the data engineering space. The role requires deep Spark knowledge, strong Scala skills, and excellent English communication for collaboration across time zones.