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ClickhouseClickhouse

Senior Software Engineer - Java Streaming - Connectors

Build and own high-performance JVM-based connectors, drivers, and integrations connecting ClickHouse with streaming frameworks and the broader data ecosystem. The role requires 6+ years of software development experience, deep Java expertise, and production experience with streaming connectors and distributed messaging systems.

About the job

Responsibilities

  • Build and maintain ClickHouse data connectors and integrations across the data ecosystem.
  • Own the full lifecycle of JVM-based data framework integrations, including database drivers, SDKs, sources, and sinks.
  • Develop and maintain production-grade connectors for streaming and data integration frameworks.
  • Improve integration performance, reliability, throughput, and developer experience.
  • Collaborate with open-source contributors, internal engineering teams, and enterprise users.
  • Contribute to high-performance systems supporting real-time analytics and observability workloads.

Requirements

  • 6+ years of software development experience building and delivering high-quality, data-intensive solutions.
  • Experience with streaming or data integration frameworks, especially Apache Kafka, Kafka Connect, Apache Flink, or Apache Beam.
  • Experience developing or extending connectors, sinks, or sources for a streaming processing framework.
  • Hands-on experience with distributed messaging systems, including topic design, consumer groups, and performance tuning.
  • Strong understanding of SQL, data modeling, query optimization, and OLAP databases.
  • Experience building scalable data integration systems beyond simple ETL jobs.
  • 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 data-throughput optimization.
  • Strong written and verbal communication skills.
  • Passion for open-source development.

Nice-to-haves

  • Contributions to open-source projects and active engagement with open-source communities.
  • Familiarity with ClickHouse or similar high-performance data platforms.
  • Working knowledge of Python and data engineering tools such as Pandas, PySpark, or Airflow.

Compensation and Benefits

  • Flexible, remote-friendly work environment.
  • Employer healthcare contributions.
  • Company stock options.
  • Flexible time off in the United States and generous entitlement in other countries.
  • USD $500 home-office setup allowance for remote employees.
  • Company-wide offsites and global gatherings.

Skills

Java, Jvm, Apache Kafka, Kafka Connect, Apache Flink, Apache Beam, Apache Pulsar, Amazon Kinesis, SQL, Data Modeling, Olap Databases, Jdbc, Python, Spark, Apache Airflow

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