Remote Apache Iceberg Engineer — Open Source & Data Systems

BairesDev; México; Remote; MXN 2,251,000 - 3,376,000; Full time

Benefits offered by this job

100% remote work

USD or local currency

Home office setup

Flexible hours

Paid parental leaves and holidays

Global mentorship and growth

Job summary

BairesDev is seeking an Apache Iceberg Developer to work on distributed data table formats and metadata management systems and contribute to Apache Iceberg and related projects (Spark, Flink, Hive). You will focus on schema evolution, partitioning, and scalable table architecture.

Join a 100% remote team with flexible hours and competitive USD compensation. You will collaborate with engineers worldwide to implement, optimize, and integrate Iceberg-based solutions for batch and streaming

Qualifications

• 10+ years of experience in software development.
• Strong expertise in distributed computing and large-scale data processing systems.
• Understanding of Apache Iceberg table architecture, schema evolution, snapshots, partitioning, and incremental reads.
• Proficiency in Java (primary), and Scala or Python for ecosystem integrations.
• Experience in performance tuning of metadata-heavy systems.
• Core contributions to Apache open source projects (Iceberg, Spark, Hive, Flink, or similar).
• Advanced level of English.

Responsibilities

• Contribute actively to Apache Iceberg and related open source projects as a core contributor.
• Implement and optimize table formats, snapshots, partitioning, and metadata management.
• Support integrations with processing engines like Spark, Flink, and Hive for batch and streaming workloads.
• Collaborate with engineering teams on system integration and deployment.

Skills

Distributed computing

Java

Scala

Python

Iceberg knowledge

Open source contributions

English proficiency

Big data

Tools

Spark

Flink

Hive

Git

Job description

BairesDev is seeking an Apache Iceberg Developer to work on distributed data table formats and metadata management systems and contribute to Apache Iceberg and related projects (Spark, Flink, Hive). You will focus on schema evolution, partitioning, and scalable table architecture.

Join a 100% remote team with flexible hours and competitive USD compensation. You will collaborate with engineers worldwide to implement, optimize, and integrate Iceberg-based solutions for batch and streaming