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Software Engineer - Query Execution

Dremio · Remote · Anywhere in the World · posted 22 days ago (2026-10-07)

Full-TimeRemoteExperience 1-3 yrsEngineering

Skills: Java

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Job description

Headquarters: Portugal - Remote Be Part of Building the Future Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases. Based on open source technologies, including Apache Iceberg and Apache Arrow, Dremio provides an open lakehouse architecture enabling the fastest time to insight and platform flexibility at a fraction of the cost. Learn more at www.dremio.com. About the role Dremio’s Query Execution team builds the runtime responsible for executing analytical queries at scale. The team sits between query planning and table scans, building the systems that turn query plans into efficient, reliable execution. As a Software Engineer, you’ll work with experienced engineers to build, test, and support well-scoped improvements to the execution engine. You’ll learn how Dremio’s query runtime works while contributing to areas such as query operators, expression evaluation, memory management, scheduling, and performance. What you’ll be doing Build and support execution-engine components: Implement, test, debug, and maintain well-defined changes to query operators, expression evaluation, execution scheduling, and resource management. Develop reliable software: Write clear, maintainable Java code; add unit and integration tests; and follow established engineering practices for code review, testing, and documentation. Investigate issues: Help diagnose query correctness, reliability, and performance issues using query profiles, logs, telemetry, benchmarks, and production data. Learn runtime and performance fundamentals: Build familiarity with vectorized processing, concurrency, memory usage, parallelism, data exchange, and disk spilling. Collaborate with the team: Work cl

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