ClickHouse jobs

Software Engineer - Database Integrations at ClickHouse focuses on building real-time data replication systems and Change Data Capture (CDC) platforms for petabyte-scale data movement. Key responsibilities include designing high-throughput database integrations (Postgres, MySQL, MongoDB), debugging production issues using observability tools, improving system reliability, and driving product innovation with customers. The role is based in the United Kingdom and participates in on-call rotation as part of the ClickPipes team.

Software Engineer - Database Integrations at ClickHouse focuses on building real-time data replication systems and Change Data Capture (CDC) platforms for petabyte-scale data movement. Key responsibilities include designing high-throughput database integrations (Postgres, MySQL, MongoDB), debugging production issues using observability tools, improving system reliability, and driving product innovation with customers. The role is based in Spain and participates in on-call rotation as part of the ClickPipes team.

ClickHouse is seeking a Senior Product Counsel to join its legal team, reporting to the Deputy General Counsel. The role involves advising product and engineering teams across the full product lifecycle on legal issues including AI/ML, data privacy, IP, and open-source licensing. Responsibilities include drafting agreements, reviewing product terms, supporting M&A diligence, and advising on trademark matters. This is a founding legal position at a Forbes Cloud 100 company with remote US-based work. Requires legal expertise and ability to partner with technical teams on privacy, AI compliance, and product strategy.

Commercial Account Executive position at ClickHouse (cloud analytics database, Forbes Cloud 100) based in Singapore covering Greater China region. The role involves identifying and closing cloud subscription deals, managing customer relationships, forecasting, and supporting community engagement. This is a sales/account executive function focused on customer acquisition and pipeline development, not software engineering. Location in Singapore disqualifies it entirely from James's US-remote-only requirement.

ClickHouse is hiring a Senior Software Engineer to own JVM-based data framework integrations (Spark, Flink, Kafka Connect, Beam) that connect ClickHouse to the broader data ecosystem. You'll build and maintain critical database drivers, SDKs, and connectors handling billions of records per second, working across the full lifecycle from core infrastructure to developer experience. Required qualifications include 6+ years of software development with proven experience in at least one major big data framework, strong Java/JVM proficiency (memory management, GC tuning, concurrency), database fundamentals, and understanding of JDBC and network optimization. ClickHouse is a Forbes Cloud 100 company with $400M Series D funding, 3,000+ customers, and 250%+ YoY ARR growth, offering competitive salary (premium range in SF Bay Area/NYC Metro), equity for all employees, and a fully remote-friendly culture across 20+ countries. Open-source contribution experience and familiarity with ClickHouse or similar high-performance analytics platforms are strong bonuses, though the role specifically requires hands-on experience building scalable data integration systems beyond simple ETL.

ClickHouse is hiring a Senior Software Engineer to own and maintain critical JVM-based data framework integrations (Spark, Flink, Kafka Connect, Beam) that connect ClickHouse to the broader data ecosystem. You'll work across the full lifecycle of connectors—from core database drivers handling billions of records per second to SDKs and visualization platform integrations—directly impacting how data engineers process massive datasets at scale. Required qualifications include 6+ years of software development experience, proven expertise with at least one major data processing framework (Spark, Flink, Kafka Connect, or Beam), strong Java and JVM fundamentals (memory management, GC tuning, concurrency patterns), and solid understanding of database internals and JDBC/network protocols. ClickHouse is a Forbes Cloud 100 company with $400M Series D funding, 3,000+ customers, and 250%+ YoY ARR growth; the role is remote-friendly across 20+ countries with equity included. A standout requirement is deep expertise in JVM framework internals combined with passion for open-source development—prior OSS contributions are highly valued and the team actively engages with the open-source community.

ClickHouse, a Forbes Cloud 100 company in real-time analytics and data warehousing, is hiring a Senior Software Engineer for its Connectors team—the group responsible for building official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran) and integrations with visualization platforms (Grafana, Tableau, Power BI, Metabase). You'll own the full lifecycle of JVM-based data framework integrations, from low-level database drivers handling billions of records per second to SDKs that make ClickHouse native in JVM applications. Required qualifications include 6+ years of software development experience with proven expertise in Apache Spark, Flink, Kafka Connect, or Beam internals; strong Java and JVM proficiency (memory management, garbage collection, performance profiling); solid concurrent programming knowledge; and deep database fundamentals including SQL and OLAP/analytical systems. ClickHouse has $400M in Series D funding, 3,000+ customers including Meta, Tesla, and Sony, and offers competitive US salary (with premium ranges for SF Bay Area and NYC), equity for all new hires, and a fully remote-friendly culture across 20+ countries. Open-source passion is expected, with bonus points for prior OSS contributions and ClickHouse familiarity.

ClickHouse is hiring a Senior Software Engineer to specialize in JVM-based integrations for their Integrations team, which builds the connectors and drivers that link ClickHouse to the broader data ecosystem. You'll own the full lifecycle of data framework integrations—from core database drivers handling billions of records per second to SDKs and connectors for Apache Spark, Flink, Kafka, and other JVM tools—directly impacting how thousands of data engineers process massive datasets. You need 5+ years of software development experience with strong Java proficiency, deep knowledge of memory management and garbage collection, solid concurrent programming skills, and hands-on experience building or extending connectors for big data frameworks like Spark or Kafka Connect. ClickHouse is a Forbes Cloud 100 company with $400M in recent Series D funding, 3,000+ customers, and 250% YoY ARR growth; the role offers competitive US-based salary (with premium ranges for SF and NYC), equity, and a flexible remote-first environment across 20+ countries. This is a high-impact role at a rapidly scaling data infrastructure company where your work directly influences how enterprise customers from Meta to Tesla handle analytics at scale.

ClickHouse is hiring a Senior Software Engineer to join the Connectors team, which owns the critical data framework integrations bridging ClickHouse to the broader data ecosystem. You'll own the full lifecycle of JVM-based framework integrations—from low-level database drivers handling billions of records per second to SDKs and connectors for Spark, Flink, Kafka, and Beam—directly impacting how companies process massive datasets. Required experience includes 6+ years of software development, proven expertise with internals of Apache Spark, Flink, Kafka Connect, or Beam, strong Java and JVM fundamentals (memory management, GC tuning, concurrency), and solid understanding of JDBC, network protocols, and OLAP databases. ClickHouse is a Forbes Cloud 100 company with $400M in recent Series D funding, 3,000+ customers including Meta, Tesla, and Capital One, and operates as a remote-friendly, globally distributed organization with equity for all new hires. This role requires deep expertise in JVM frameworks and connectors—not a generalist backend position—making it a strong fit only for engineers with hands-on experience building or extending data pipeline systems like Spark or Flink.