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 ClickHouse’s Python connector and SDK ecosystem, improving performance, reliability, and API design. Build integrations with orchestration platforms and dbt to enterprise-grade standards, and drive AI/LLM connector strategy for RAG and ML feature pipelines. Collaborate across Product and Cloud teams while engaging the open-source community to triage issues, support contributors, and shape the roadmap using real-world data engineering workflows.

Location: United States, Canada, United Kingdom, Portugal, Spain, France, Italy, Germany, Netherlands, Poland, Czech Republic, Israel, United Arab Emirates

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 (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade standards.
•Drive the AI/LLM integration strategy by designing connectors and patterns for RAG architectures, 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

Perks:Health InsuranceEquityTime OffRemote WorkHome Office

Key Requirements

•7+ years of software development experience with 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 AI/ML experience in production data-engineering contexts, including embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped.
•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 engineeringMachine learningAIOpen-source

Skills:CommunicationCollaborationOpen-source collaboration

Languages:English

Tech Stack:PythonPandasNumPyPydanticSQLAirflowDagsterPrefectDbtRAGLLMEmbeddingsVector searchVector databasesThreadingMultiprocessingAsyncTableauPowerBISuperset

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: United States, Canada, United Kingdom, Portugal, Spain, France, Italy, Germany, Netherlands, Poland, Czech Republic, Israel, United Arab Emirates

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 (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade standards.
•Drive the AI/LLM integration strategy by designing connectors and patterns for RAG architectures, 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

Perks:Health InsuranceEquityTime OffRemote WorkHome Office

Key Requirements

•7+ years of software development experience with 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 AI/ML experience in production data-engineering contexts, including embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped.
•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 engineeringMachine learningAIOpen-source

Skills:CommunicationCollaborationOpen-source collaboration

Languages:English

Tech Stack:PythonPandasNumPyPydanticSQLAirflowDagsterPrefectDbtRAGLLMEmbeddingsVector searchVector databasesThreadingMultiprocessingAsyncTableauPowerBISuperset

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn