Senior Software Engineer - Data Integration & JVM Ecosystem

ClickHouse is one of the most innovative and fast-growing private cloud companies, recognized on the 2025 Forbes Cloud 100 list. As a Senior Software Engineer specializing in JVM-based frameworks, you'll contribute to ClickHouse's Data engineering ecosystem by owning and maintaining critical integrations and tools that enhance the performance and developer experience.

Responsibilities:

• Own and maintain critical parts of ClickHouse's Data engineering ecosystem
• Craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale
• Own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications
• Build the foundation that thousands of Data engineers rely on for their most critical data workloads
• Collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience

Requirements:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• A track record of building scalable data integration systems (beyond simple ETL jobs)
• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire
• Passion for open-source development
• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions
• Familiarity with ClickHouse or similar high-performance data platforms
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed