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ClickHouse

Senior Java Engineer - Integrations

Posted Yesterday
Remote
Hiring Remotely in United States
157K-232K Annually
Senior level
Remote
Hiring Remotely in United States
157K-232K Annually
Senior level
As a Senior Java Engineer in Integrations, you'll manage ClickHouse's data framework integrations, focusing on performance and user experience for data engineers.
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About ClickHouse

Established in 2009, ClickHouse leads the industry with its open-source column-oriented database system, driven by the vision of becoming the fastest OLAP database globally. The company empowers users to generate real-time analytical reports through SQL queries, emphasizing speed in managing escalating data volumes. Enterprises globally, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more, rely on ClickHouse Cloud. It is available through open-source or on AWS, GCP, Azure, and Alibaba. 

About the Team

The Integrations team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connections that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database drivers to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official language clients (Python, JavaScript, Java, Go, Rust, C++), major data connectors (Kafka, dbt, Spark, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, PowerBI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations—from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:
  • 5+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
  • 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.
  • Experience developing, extending, or working with 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.
  • Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
  • Passion for open-source development: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
Bonus points for:
  • Prior contributions to open-source projects.
  • Familiarity with ClickHouse or similar high-performance data platforms.
  • Expertise in building sinks or source connectors for big data frameworks.
  • Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.
  • Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
  •  
New York Area / San Francisco Area - Salary Range
$157,000$232,000 USD
Washington State - Full Salary Range
$141,300$197,200 USD
General US Remote Salary Range
$125,600$185,500 USD
Los Angeles, CA / Washington, DC - Salary Range
$141,300$208,800 USD
Seattle, WA - Full Salary Range
$121,500$208,800 USD
Compensation

For roles based in the United States, you can find above our typical starting salary ranges for this role, depending on your specific location. 

The positioning of offers within a certain range depends on various factors, including: candidate experience, qualifications, skills, business requirements and geographical location.

If you have any questions or comments about compensation as a candidate, please get in touch with us at [email protected].

Perks
  • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries.
  • Healthcare - Employer contributions towards your healthcare.
  • Equity in the company - Every new team member who joins our company receives stock options.
  • Time off - Flexible time off in the US, generous entitlement in other countries.
  • A $500 Home office setup if you’re a remote employee.
  • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We All Shape It

As part of our first 500 employees, you will be instrumental in shaping our culture. 

Are you interested in finding out more about our culture?  Learn more about our values here.  Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.

Equal Opportunity & Privacy 

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 

Please see here for our Privacy Statement.

Top Skills

Spark
Beam
Flink
Java
Jvm
Kafka Connect
Python
SQL

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