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Senior Software Engineer - Data Integration & JVM Ecosystem

1 month, 3 weeks ago
United States
Full-time
Senior
Backend Engineer
Software Development
Apache Airflow Apache Spark Beam ClickHouse dbt Flink 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 133

Description

  • Own and maintain critical parts of ClickHouse’s data engineering ecosystem, including JVM-based integrations and connectors.
  • Build and maintain official data connectors such as Kafka, dbt, Spark, Flink, Beam, and Fivetran.
  • Develop SDKs and database driver components that support JVM-based applications and high-throughput data workloads.
  • Work on integrations that span from low-level database connectivity to high-level visualization plugins.
  • Collaborate with open-source contributors, internal teams, and enterprise users to improve performance, reliability, and developer experience.
  • Support data framework integrations across the full lifecycle, from implementation through maintenance and improvement.
  • Help ensure ClickHouse integrations feel native in JVM environments and meet the needs of data engineers at scale.
  • Contribute to tooling that enables real-time analytics, observability, and massive data processing use cases.

Requirements

  • 6+ years of software development experience focused on 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 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.
  • Understanding of JDBC, TCP/IP, HTTP, and techniques for optimizing data throughput over the wire.
  • Outstanding written and verbal communication skills.
  • 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 for data engineering contexts such as Pandas, PySpark, and Airflow is preferred.

Benefits

  • Typical starting salary of $125,600–$185,500 USD in the US.
  • Typical starting salary of $157,000–$232,000 USD in US premium markets.
  • Remote-friendly, globally distributed work environment 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 time off in other countries.
  • $500 home office setup support for remote employees.
  • Opportunities to connect with colleagues through company-wide global gatherings.

Interested in this position?

Apply directly on the company website

Apply Now

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