Senior Software Engineer - Python and Data Ecosystem @ ClickHouse

Own Python connectors and SDKs to integrate ClickHouse with orchestration, transformation, and AI tooling for data practitioners.

Own and evolve ClickHouse's Python connectors and SDKs for performance and reliability.
Build/maintain integrations with Airflow, Dagster, Prefect, and dbt to standards.
Drive AI/LLM integration strategy for RAG architectures and ML pipelines.
Engage with the open-source community: triage issues and shape the roadmap.
Collaborate with Product, Cloud, and other teams to align integration work.
Provide practitioner perspective to roadmaps based on data workflows.

7+ years software development experience, ideally with data engineering/science/ML exposure.
Proven experience designing/maintaining production-grade Python connectors/SDKs for at least one major platform.
Strong Python data ecosystem skills: Pandas, NumPy, Pydantic.
Contributions or deep practical experience with Airflow, Dagster, or Prefect.
Hands-on AI/ML in data engineering: embeddings, vector search, feature pipelines.
Strong SQL, data modeling, query optimization, OLAP/analytical databases.
Experience with concurrent Python: threading, multiprocessing, async.
Excellent written and verbal communication; cross-team collaboration.