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Senior Software Engineer - Data Integration & JVM Ecosystem

3 weeks, 2 days ago
Israel
Full-time
Senior
Backend 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 159

Description

  • Own and maintain critical parts of ClickHouse’s data engineering ecosystem for JVM-based applications.
  • Build and maintain official connectors and integrations across database, streaming, and visualization tools.
  • Own the full lifecycle of data framework integrations, from core database drivers to SDKs and connectors.
  • Develop tools that help data engineers use ClickHouse for high-performance and large-scale data workloads.
  • Collaborate with open-source contributors, internal teams, and enterprise users to improve performance, reliability, and developer experience.
  • Work on integrations that support massive datasets, real-time analytics, and observability workloads.
  • Contribute to the evolution of ClickHouse’s JVM integrations and related data platform tooling.
  • Help ensure connectors feel native within JVM-based environments and meet production needs.

Requirements

  • 6+ years of software development experience focused on high-quality, data-intensive solutions.
  • Proven experience with the internals of at least one of these technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
  • Experience developing or extending connectors, sinks, or sources for a big data processing framework such as Spark, Flink, Beam, or Kafka Connect.
  • Strong understanding of database fundamentals, including SQL, data modeling, query optimization, and OLAP/analytical databases.
  • Track record of building scalable data integration systems beyond simple ETL jobs.
  • 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.
  • Outstanding written and verbal communication skills.
  • Understanding of JDBC, TCP/IP, HTTP, and techniques for optimizing data throughput over the wire.
  • Passion for open-source development.
  • Prior contributions to open-source projects are preferred.
  • Familiarity with ClickHouse or similar high-performance data platforms is preferred.
  • Working knowledge of Python in data engineering contexts such as Pandas, PySpark, or Airflow is preferred.

Benefits

  • Flexible, remote-friendly work environment in a globally distributed company operating in over 20 countries.
  • Employer contributions toward healthcare.
  • Equity in the company through stock options for every new team member.
  • Flexible time off in the US and generous entitlement in other countries.
  • $500 home office setup budget for remote employees.
  • Opportunities to connect with colleagues through company-wide global offsites.

Interested in this position?

Apply directly on the company website

Apply Now

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