Senior Apache Iceberg Engineer - Scale Data Lakes & OSS

BairesDev; Puebla de Zaragoza; On-site; MXN 1,099,000 - 2,198,000; Full time

Benefits offered by this job

Competitive salary

Parental leave

Vacation & national holidays

Multicultural environment

Mentorship & growth opportunities

Job summary

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

You will implement and optimize table formats, snapshots, partitioning, and metadata management, while collaborating with engineers on integration and deployment across batch and streaming workloads.

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

Large-scale data processing

Advanced English

Java proficiency

Ecosystem integrations

Open source contributions

Tools

Apache Iceberg

Apache Spark

Apache Flink

Apache Hive

Job description

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

You will implement and optimize table formats, snapshots, partitioning, and metadata management, while collaborating with engineers on integration and deployment across batch and streaming workloads.