Senior Software Engineer - Data Integration & JVM Ecosystem

📋 Description

• Own and maintain critical parts of JVM-based data engineering ecosystem.
• Own full lifecycle of data framework integrations—from core DB driver to SDKs and connectors.
• Collaborate with open-source community, internal teams, and enterprise users to ensure performance, reliability, and developer experience.
• Build tools that enable data engineers to harness ClickHouse speed and scale.

🎯 Requirements

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with internals of at least one of Spark, Flink, Kafka Connect, or Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data framework such as Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, OLAP.
• A track record of building scalable data integration systems.
• Strong proficiency in Java and the JVM ecosystem, including memory management, GC tuning, and performance profiling.
• Understanding of JDBC, TCP/IP, HTTP, and data throughput optimization.
• Bonus: Prior contributions to open-source projects.

🎁 Benefits

• Flexible work environment; remote-friendly; globally distributed.
• Healthcare; employer contributions.
• Equity in the company; stock options.
• Time off; flexible in US, generous in other countries.
• $500 home office setup for remote employees.
• Global gatherings; company-wide offsites.