Software Development Engineer (Java) for Distributed Data and Analytics Ecosystem

We are looking for 3 Software Development Engineers (Java) to join a managed service engagement supporting a large-scale data and analytics ecosystem. The team will contribute to an open-source table format project widely used in distributed data processing systems, with the goal of improving interoperability with a major cloud-based data lake service. The initial scope includes enhancing stream processing engine support for the latest table format specification, improving compatibility between cloud-native lakehouse capabilities and open-source tooling, addressing authentication inconsistencies in OSS integrations, implementing already-approved specification features, and closing functional gaps between specification and tooling behavior.

• Contribute to open-source development related to distributed data table format specifications and ecosystem tooling;


• Improve stream processing engine support to align with the latest table format specification version;


• Enhance compatibility between cloud-based data lake services and open-source table format tooling;


• Identify and address authentication and authorization gaps in OSS integrations, especially related to cloud identity mechanisms;


• Implement community-approved specification features that are not yet available in current implementations;


• Analyze and close behavioral gaps between formal specifications and real-world tooling implementations;


• Collaborate with distributed teams and contribute code, design discussions, and reviews within the open-source community;


• Ensure production-grade quality, maintainability, and performance of contributed components.

• 3+ years of experience as a Software Development Engineer with strong Java expertise;

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• Solid experience working with distributed data systems and large-scale data processing frameworks;


• Experinence with GCP and its services;


• Hands-on experience with Apache Iceberg AND/OR Apache Flink;


• Strong understanding of cloud environments and authentication mechanisms in distributed systems;


• Strong problem-solving skills and ability to work independently in a distributed team setup;


• Good written and verbal communication skills in English.

Nice to have:

• Experience with cloud-based data lake services and lakehouse architectures;


• Familiarity with catalog federation concepts and metadata management systems;

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• Understanding of specification-driven development and standards alignment;


• Previous experience working in managed service or vendor-based delivery models;


• Experience optimizing performance and scalability of distributed data processing systems.

Work conditions:

• Overlap until 10 AM PST;


• B2B contact


• Remote/Hybrid work format


• Company benefits

Locations: Serbia, Poland, Croatia, Portugal, Kazakhstan, Armenia, Georgia, Egypt OR Locations with CET hours/Remote