Senior Software Engineer (Java Streaming, Connectors)

Join ClickHouse, a leading open-source analytics database, as a Senior Software Engineer specializing in JVM-based frameworks. In this role, you will own and maintain critical parts of ClickHouse's data engineering ecosystem, craft tools for Data Engineers, and impact how companies process massive datasets. You will 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. Enjoy a flexible work environment, healthcare benefits, equity in the company, global gatherings, and generous time off.

• As a Senior Software Engineer specializing in JVM-based frameworks, you will be responsible for owning and maintaining critical parts of ClickHouse's Data engineering ecosystem, crafting tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.
• You will 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.
• You will 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.
• 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
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns
• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire
• Passion for open-source development
• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed
• Familiarity with ClickHouse or similar high-performance data platforms
• 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