Software Engineer - Database Integrations

About this role

About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! Note: . We are hiring for this role remotely in any country ClickHouse has a hiring presence. About the Team The ClickPipes - Database Integrations team builds the platform that enables real-time data replication from databases into ClickHouse at petabyte scale. As a member of this team, you will be solving complex database-related challenges and distributed systems problems, such as understanding database internals to optimize snapshotting strategy, handling schema evolution during live replication, managing data type compatibility across systems, maintaining low end-to-end latency under unpredictable loads, and leveraging durable execution frameworks to ensure data consistency over unreliable networks. We work in the open — our database integrations are built on PeerDB , an open-source CDC platform we actively maintain and contribute to. See some of our recent work: ClickPipes for Postgres now supports failover replication slots MongoDB CDC to ClickHouse with Native JSON Support Under the Hood: Building MySQL Change Data Capture in ClickPipes What You’ll Do: Build data-intensive systems Design and develop high-throughput integrations with databases (Postgres, MySQL, Mon