ClickHouse

3 weeks ago

Senior Software Engineer - Python and Data Ecosystem

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Own and evolve the Python connector and SDK ecosystem that powers ClickHouse’s integrations across orchestration, transformation, and AI/LLM workflows. Build production-ready integrations for tools like Airflow, Dagster, Prefect, dbt, and AI frameworks such as LangChain and LlamaIndex, shaping connector patterns for RAG, vector search, and feature pipelines. Collaborate across engineering, engage with the open-source community, and use firsthand data-engineer and data-scientist experience to guide roadmap decisions.

Location: Israel

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own and evolve ClickHouse’s Python connector and SDK ecosystem, improving performance, reliability, and API design.
•Build and maintain integrations with orchestration platforms and transformation tools to enterprise-grade standards.
•Drive the AI/LLM integration strategy by designing connectors and patterns for RAG, ML feature pipelines, and LLM-powered data applications.
•Engage with the open-source community by triaging issues, supporting contributors, advocating for users, and shaping the roadmap from feedback.
•Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceEquityTime OffHome Office

Key Requirements

•7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer.
•Deep experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for major platforms (orchestration, BI, MLOps, or data transformation).
•Hands-on experience applying AI/ML in production data-engineering contexts, such as embedding generation, vector search, feature pipelines, or LLM-powered tooling.
•Solid Python data-ecosystem experience with Pandas, NumPy, Pydantic, and related libraries.
•Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

Experience:7+ yearsData engineeringData scienceMLAI/LLMOpen source

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonPandasNumPyPydanticSQLApache AirflowDagsterPrefectDbtSQLMeshLangChainLlamaIndexN8nKafka ConnectFivetranTableauPowerBISupersetMetabaseApache Spark

Company Brief

ClickHouse

Develops ClickHouse, a high-performance open-source columnar database for real-time analytics, enabling fast querying and processing of large volumes of data for analytics, monitoring, and business intelligence workloads.

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn

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ClickHouse

3 weeks ago

Senior Software Engineer - Python and Data Ecosystem

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Israel

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own and evolve ClickHouse’s Python connector and SDK ecosystem, improving performance, reliability, and API design.
•Build and maintain integrations with orchestration platforms and transformation tools to enterprise-grade standards.
•Drive the AI/LLM integration strategy by designing connectors and patterns for RAG, ML feature pipelines, and LLM-powered data applications.
•Engage with the open-source community by triaging issues, supporting contributors, advocating for users, and shaping the roadmap from feedback.
•Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceEquityTime OffHome Office

Key Requirements

•7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer.
•Deep experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for major platforms (orchestration, BI, MLOps, or data transformation).
•Hands-on experience applying AI/ML in production data-engineering contexts, such as embedding generation, vector search, feature pipelines, or LLM-powered tooling.
•Solid Python data-ecosystem experience with Pandas, NumPy, Pydantic, and related libraries.
•Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

Experience:7+ yearsData engineeringData scienceMLAI/LLMOpen source

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonPandasNumPyPydanticSQLApache AirflowDagsterPrefectDbtSQLMeshLangChainLlamaIndexN8nKafka ConnectFivetranTableauPowerBISupersetMetabaseApache Spark

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn