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Senior Software Engineer - Python and Data Ecosystem

ClickHouseCanada (Remote)
Remote Full-time

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Experience Level

Senior

Qualifications

To succeed in this role, you should possess:Extensive experience in Python programming and data engineering practices. A solid understanding of database systems and their integration into modern data ecosystems. Hands-on experience with real-time data processing frameworks. Familiarity with AI applications and their integration with data platforms. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

About the job

About ClickHouse

Listed among the 2025 Forbes Cloud 100, ClickHouse is recognized as a leader in innovation within the private cloud sector. Serving over 3,000 clients and experiencing an astounding 250% year-over-year growth in ARR, ClickHouse excels in real-time analytics, data warehousing, observability, and AI-driven workloads.

The company’s remarkable growth has been bolstered by a recent $400M Series D funding round. In the last quarter, major clients such as Capital One, Lovable, Decagon, Polymarket, and Airwallex have either adopted our platform or expanded their existing use. They join a prestigious roster of AI pioneers and global brands, including Meta, Cursor, Sony, and Tesla.

Join us on our mission to revolutionize the way organizations leverage data.

The Connectors team plays a crucial role in linking ClickHouse with the wider data ecosystem. We design and maintain integrations that empower millions of developers, data experts, and AI agents worldwide, ranging from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tools.

Our contributions significantly influence how organizations manage extensive datasets: we support real-time analytics platforms processing millions of events per second, observability systems tracking global infrastructures, and increasingly, AI-powered data applications that redefine data interactions. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set benchmarks for performance, reliability, and user experience.

About the Role

As a Senior Software Engineer focused on Python and the Data Ecosystem, you will be a key contributor responsible for the evolution of essential components within ClickHouse’s data engineering ecosystem. This position lies at the crossroads of high-performance database engineering and enhancing developer experience. You will develop tools that empower Data Engineers and Data Scientists to leverage ClickHouse’s speed and scalability within their existing frameworks.

We seek an individual who has firsthand experience as a Data Engineer or Data Scientist. The landscape for data practitioners is rapidly changing: databases are no longer mere query targets; they are becoming vital components of AI-driven workflows, serving as vector stores for RAG pipelines, backends for LLM-driven agents, and real-time feature stores for ML inference. Your understanding of these workflows comes from direct involvement, enabling you to provide product-level insights as you create integrations.

About ClickHouse

ClickHouse is a rapidly growing cloud company recognized for its innovative approach to data analytics. With a focus on real-time analytics and AI workloads, we empower organizations to harness their data effectively. Our commitment to excellence is reflected in our partnerships with leading global brands.

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