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60 Clickhouse Data Engineer Jobs Hiring Near You

ClickHouse

Senior Software Engineer - Integrations - AI/ML

OR · On-site +1

$122K - $161K/yr

We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau ...

ClickHouse

Director of Product, ClickHouse Cloud

$400/day

Partner closely with Engineering leadership to prioritize investments across the core database ... Familiarity with modern data infrastructure, including data lakes, ETL pipelines, CDC ...

ClickHouse

Director of Product, ClickHouse Cloud

OR · On-site +1

$232K - $243K/yr

Partner closely with Engineering leadership to prioritize investments across the core database ... Familiarity with modern data infrastructure, including data lakes, ETL pipelines, CDC ...

ClickHouse

Solutions Architect - Langfuse

San Francisco, CA · On-site

$74.25 - $97.75/hr

Responsibilities : • Lead technical evaluations with AI engineering teams considering ClickHouse as their observability data store, from initial architecture review through POC and production ...

ClickHouse

Solutions Architect - Langfuse

$64.50 - $85/hr

Responsibilities : • Lead technical evaluations with AI engineering teams considering ClickHouse as their observability data store, from initial architecture review through POC and production ...

ClickHouse

Cloud Database Infrastructure Engineer

$400/day

Work closely with our ClickHouse core development team and other data plane teams, partnering with ... Production experience with programming languages like Go, C++ or Java * You are not a stranger to ...

ClickHouse

Senior Infrastructure Engineer - Postgres

OR · On-site +1

$108K - $147K/yr

ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure -adding new capabilities ... We're hiring a Senior SRE / Senior Infrastructure Engineer to own reliability, automation, and ...

ClickHouse

Senior Site Reliability Engineer- Remote

OR · On-site +1

$57 - $75.75/hr

You will be leveraging your software engineering expertise to develop software platforms and tools ... Ensure all the infrastructure components in ClickHouse Cloud (including Data Plane, Control Plane ...

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Infographic showing various Data Engineer job openings at Clickhouse in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 6% Physical, and 94% Remote job distribution.

Senior Software Engineer - Java Streaming - Connectors

ClickHouse

OR • On-site, Remote

$122K - $161K/yr

Full-time

Re-posted 10 days ago

Job description

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations 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 data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, 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:
  • 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
  • Proven experience with the internals of streaming or data integration frameworks, with strong preference for Apache Kafka (or similar pub/sub systems), Kafka Connect, Apache Flink or Apache Beam.
  • Experience developing or extending connectors, sinks, or sources for at least one streaming processing framework such as Apache Flink, Beam, or Kafka Connect, with preference for experience building or maintaining production-grade streaming connectors.
  • Hands-on experience with Apache Kafka or similar distributed messaging systems (e.g., Pulsar, Kinesis), including topic design, consumer groups, and performance tuning.
  • Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.
A track record of building scalable data integration systems (beyond simple ETL jobs)
  • 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.
  • Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
  • Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
  • Passion for open-source development.
Bonus points for:
  • Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions - big advantage.
  • Familiarity with ClickHouse or similar high-performance data platforms.
  • Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

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