Senior Software Engineer - Data Integration & JVM Ecosystem

Senior Software Engineer - Data Integration & JVM Ecosystem

Recognized on the 2025 Forbes Cloud 100 list, Click House is one of the most innovative and fast‑growing private cloud companies. With over 2,000 customers and annual recurring revenue that has more than quadrupled over the past year, Click House leads the market in real‑time analytics, data warehousing, observability, and AI workloads. Click House’s momentum was confirmed in its recent $350M Series C financing, which included new tier‑one investors such as Khosla Ventures, BOND, IVP, Battery Ventures and Bessemer Venture Partners.

We’re on a mission to transform how companies use data. Come be a part of our journey!

As a Senior Software Engineer specializing in JVM‑based frameworks, you’ll serve as a core contributor, owning and maintaining critical parts of Click House’s data‑engineering ecosystem. You will build and support the official connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran) and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase). 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 Click House feel native in JVM applications.

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 set the standard for performance, reliability, and developer experience.

• 6+ years of software development experience focusing on building and delivering high‑quality, data‑intensive solutions.
• Proven experience with the internals of at least one of the following technologies:
  Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• 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.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.
• A track record of building scalable data integration systems (beyond simple ETL jobs).
• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage‑collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open‑source development.

• 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.
• Familiarity with Click House or similar high‑performance data platforms.
• Working knowledge of Python, especially in data‑engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as Los Angeles, CA, the San Francisco Bay Area, CA, the Seattle, WA, Area, and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting.

The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization. If you have any questions or comments about…