Senior Software Engineer, JVM Integrations

About ClickHouse

Established in 2009, ClickHouse leads the industry with its open-source column-oriented database system, driven by the vision of becoming the fastest OLAP database globally. The company empowers users to generate real-time analytical reports through SQL queries, emphasizing speed in managing escalating data volumes. Enterprises globally, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more, rely on ClickHouse Cloud. It is available through open-source or on AWS, GCP, Azure, and Alibaba.

About the Team

The Integrations team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connections that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database drivers to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official language clients (Python, JavaScript, Java, Go, Rust, C++), major data connectors (Kafka, dbt, Spark, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, PowerBI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll 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. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll 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.

About you:

• Experience: 5+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• JVM Proficiency: Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Concurrency: Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Big Data Frameworks: Experience developing, extending, or working with connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Database Fundamentals: Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.
• Communication: Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Open Source Passion: Actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.

Bonus points for:

• Prior contributions to open-source projects.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Expertise in building sinks or source connectors for big data frameworks.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.

Salary Range

• New York Area / San Francisco Area: $157,000 - $232,000

Employment Type

• [Employment Type not specified]

Location Type

• [Location Type not specified]