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Senior Software Engineer - Data Integration & JVM Ecosystem

3 hours, 41 minutes 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
Apply Now
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 168

Description

  • Own and maintain critical parts of ClickHouse's data engineering ecosystem.
  • Lead the full lifecycle of data framework integrations, from core database drivers to SDKs and connectors.
  • Build tools and integrations that help data engineers use ClickHouse in JVM-based applications.
  • Collaborate with the open-source community, internal teams, and enterprise users on integration quality and adoption.
  • Ensure JVM integrations meet standards for performance, reliability, and developer experience.
  • Work on connectors and integrations across data processing and visualization platforms.
  • Support data workloads involving real-time analytics and observability systems at large scale.

Requirements

  • 6+ years of software development experience building 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.
  • 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, network protocols such as TCP/IP and HTTP, and techniques for optimizing data throughput over the wire.
  • Passion for open-source development.
  • Prior contributions to open-source projects, including active community engagement and user advocacy, are a plus.
  • Familiarity with ClickHouse or similar high-performance data platforms is a plus.
  • Working knowledge of Python in data engineering contexts, such as Pandas, PySpark, and Airflow, is a plus.

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.
  • Flexible, remote-friendly work environment across more than 20 countries.
  • Employer contributions toward healthcare.
  • Equity in the company through stock options for new team members.
  • Flexible time off in the US and generous leave entitlement in other countries.
  • $500 home office setup allowance for remote employees.
  • Opportunities to connect with colleagues at company-wide global gatherings and offsites.

Interested in this position?

Apply directly on the company website

Apply Now

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