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See allAbout the role:
- You'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem.
- You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
- You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across several areas.
What you'll do:
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design.
- Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards.
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications.
About you:
- 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer.
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform.
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries.
ClickHouse
ClickHouse is a real-time analytics company that leads the market in real-time analytics, data warehousing, observability, and AI workloads. They have over 3,000 customers with accelerating momentum, validated by a $400M Series D financing round.