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ClickhouseClickhouseUnited States

Senior Software Engineer

Senior Software Engineer owning ClickHouse's Python connectors, SDKs, and integrations with orchestration (Airflow, Prefect), transformation (dbt), and AI/LLM tools (LangChain, LlamaIndex). Requires 7+ years experience as a Data Engineer/Scientist building production Python integrations for data and ML workflows.

141k – 232k
Remote7+ YOEData Engineering

About the role

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
  • Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
  • Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
  • Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

  • 7+ years of software development experience, including 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 (orchestration, BI, MLOps, or data transformation)
  • Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
  • Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
  • Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
  • Solid experience with concurrent Python: threading, multiprocessing, and async patterns
  • Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities

Bonus points for

  • Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
  • Familiarity with ClickHouse or similar high-performance OLAP platforms
  • Familiarity with the JVM ecosystem
  • Experience deploying AI/ML models in production, including inference APIs and vector databases

Compensation

The typical starting salary for this role in the US is $141,000–$208,000 USD. The typical starting salary for this role in US Premium Markets is $157,000–$232,000 USD. These salary ranges reflect base pay.

Skills

PythonpandasNumPyPydanticSQLApache AirflowDagsterPrefectdbtLangChainLlamaindexClickHouseOlapVector SearchRAG

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