Senior Software Engineer - Java Streaming - Connectors
Build and maintain high-performance Java/JVM connectors, drivers, and SDKs that integrate ClickHouse with streaming and data-processing ecosystems. The role requires 6+ years of software development experience, strong Java concurrency and performance expertise, and production experience with streaming connectors.
About the job
Responsibilities
- Build and maintain ClickHouse data ecosystem integrations, including database drivers, SDKs, connectors, sinks, and sources for JVM-based applications.
- Own the full lifecycle of integrations with streaming and data frameworks such as Kafka, Kafka Connect, Flink, Beam, Spark, dbt, and Fivetran.
- Develop scalable, high-performance data integration systems for real-time analytics and observability workloads.
- Optimize connector performance, reliability, developer experience, 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 frameworks, 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 comparable 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 Java programming, including threads, executors, and reactive or asynchronous patterns.
- Understanding of JDBC, TCP/IP, HTTP, and network-throughput optimization.
- Excellent written and verbal communication skills.
- Passion for open-source development.
Nice-to-haves
- Contributions to open-source projects and active engagement with the OSS 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
- Healthcare contributions.
- Company stock options.
- Flexible time off in the United States and generous leave in other countries.
- USD $500 home-office setup allowance for remote employees.
- Opportunities to participate in company-wide global gatherings.
Skills
Java, Jvm, Apache Kafka, Kafka Connect, Apache Flink, Apache Beam, Spark, SQL, Jdbc, Python, pandas, Pyspark, Apache Airflow, ClickHouse, TCP/IP
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