Senior Software Engineer - Java Streaming - Connectors

Responsibilities

• Build and maintain ClickHouse data ecosystem connectors and integrations, including database drivers, SDKs, sinks, and sources for JVM-based applications.
• Own the full lifecycle of data framework integrations, from design and implementation through maintenance and performance optimization.
• Develop high-performance integrations for streaming and data processing frameworks such as Apache Kafka, Kafka Connect, Apache Flink, Apache Beam, Spark, and related platforms.
• Build scalable data integration systems for real-time analytics, observability, and large-scale data workloads.
• Optimize reliability, developer experience, memory usage, garbage collection, concurrency, and data throughput.
• Collaborate with the open-source community, internal engineering teams, and enterprise users.

Requirements

• 6+ years of software development experience building and delivering high-quality, data-intensive solutions.
• Experience with streaming or data integration framework internals, preferably Apache Kafka, Kafka Connect, Apache Flink, or Apache Beam.
• Experience developing or extending production-grade connectors, sinks, or sources for a streaming processing framework.
• Hands-on experience with Apache Kafka or similar distributed messaging systems, including topic design, consumer groups, and performance tuning.
• Strong understanding of SQL, database fundamentals, data modeling, query optimization, and OLAP databases.
• Strong proficiency in Java and the JVM ecosystem, including memory management, garbage collection tuning, and performance profiling.
• Experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Understanding of JDBC, TCP/IP, HTTP, and network throughput optimization.
• Strong written and verbal communication skills.
• Passion for open-source development.

Nice to Have

• Contributions to open-source projects and active engagement with the open-source community.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python for data engineering, including Pandas, PySpark, or Airflow.

Compensation and Benefits

• USD$500 home office setup allowance for remote employees.
• Healthcare contributions.
• Company stock options.
• Flexible time off in the United States and generous entitlement in other countries.
• Flexible, remote-friendly work environment.
• Opportunities to attend company-wide offsites.