ClickHouse

Senior Software Engineer

ClickHouse

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $125,600 - $185,500 per year

Job Level

Senior

Tech Stack

AirflowApacheAWSAzureCloudETLGoogle Cloud PlatformGrafanaJavaKafkaPandasPySparkPythonSparkSQLTableauTCP/IP

About the role

  • Own and maintain critical parts of ClickHouse's Data engineering ecosystem, focusing on JVM-based frameworks.
  • Own the full lifecycle of data framework integrations, from core database drivers to SDKs and connectors for JVM applications.
  • Craft tools enabling Data Engineers to harness ClickHouse's speed and scale for real-time analytics and observability systems.
  • Collaborate with the open-source community, internal teams, and enterprise users to ensure performance, reliability, and developer experience.
  • Impact how companies process massive datasets, including real-time platforms ingesting millions of events per second.

Requirements

  • 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.
  • 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.
  • Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
  • Passion for open-source development.
  • Bonus points: Prior contributions to open-source projects; Familiarity with ClickHouse or similar high-performance data platforms; Working knowledge of Python (Pandas, PySpark, Airflow).