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Senior Software Engineer - Data Integration & JVM Ecosystem

1 month ago
Israel
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark ClickHouse dbt Grafana HTTP Java Kafka Metabase Pandas Power BI Python SQL Tableau TCP/IP
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ClickHouse

ClickHouse

ClickHouse provides a fast open source column-oriented database management system that enables users to generate real-time analytical data reports through SQL queries, catering to the needs of industries requiring efficient data processing and analysis.

IT Services
51-250
Founded 2021
$300M raised
View All Jobs 36

Description

  • Own the full lifecycle of JVM-based data framework integrations, from core database drivers to SDKs and connectors.
  • Design, implement, and maintain high-performance connectors, sinks, and sources for frameworks such as Apache Spark, Apache Flink, Apache Beam, and Kafka Connect.
  • Develop and optimize core driver code to handle massive throughput and low-latency workloads.
  • Profile and tune JVM performance, including memory management and garbage-collection optimizations, to meet throughput and latency targets.
  • Collaborate with the open-source community, internal teams, and enterprise users to gather requirements, iterate on designs, and ship production-ready integrations.
  • Ensure reliability, scalability, and excellent developer experience for ClickHouse integrations across JVM-based applications.
  • Troubleshoot and resolve production issues related to connectors, JDBC, network protocols (TCP/IP, HTTP), and data throughput.
  • Contribute to documentation, developer tooling, and best practices for data integration and connector development.

Requirements

  • 6+ years of software development experience building and delivering high-quality, data-intensive solutions.
  • Proven experience with the internals of at least one of: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
  • Experience developing or extending connectors, sinks, or sources for big data processing frameworks (e.g., Spark, Flink, Beam, Kafka Connect).
  • Strong proficiency in Java and the JVM ecosystem, including memory management, garbage collection tuning, and performance profiling.
  • Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
  • Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.
  • Track record of building scalable data integration systems (beyond simple ETL jobs).
  • Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
  • Outstanding written and verbal communication skills and a passion for open-source development.
  • Nice to have: prior contributions to open-source projects, familiarity with ClickHouse or similar high-performance data platforms, and working knowledge of Python for data engineering (Pandas, PySpark, Airflow).

Benefits

  • Flexible, remote-friendly work environment with operations across ~20 countries.
  • Employer contributions toward healthcare coverage.
  • Equity: stock options provided to new employees.
  • Flexible time off in the US and generous time-off entitlement in other countries.
  • $500 home office setup allowance for remote employees.
  • Opportunities for in-person Global Gatherings and company-wide offsites.
  • Competitive compensation with a typical starting salary range referenced for US roles and potential regional premiums (San Francisco Bay Area and NYC); contact paytransparency@clickhouse.com for compensation questions.

Interested in this position?

Apply directly on the company website

Apply Now

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