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 for ClickHouse’s Connectors team, bridging the data engineering ecosystem with high-performance database capabilities. Build and maintain integrations with orchestration and transformation tools, and drive AI/LLM connector strategy for RAG, feature pipelines, and LLM-powered data applications. Partner with product and other engineering teams, and engage with open source through issue triage, contributor support, and roadmap shaping.

Location: Canada

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 quality standards.
•Drive 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 through issue triage, contributor support, and user advocacy to shape the roadmap.
•Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities.

Pay and Benefits

Perks:Health InsuranceEquityTime OffHome OfficeRemote Work

Key Requirements

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

Experience:7+ yearsData engineeringData scienceMachine learningOpen sourceData warehousingReal-time analytics

Skills:CommunicationCollaborationProblem-solvingProduct thinking

Languages:English

Tech Stack:PythonApache AirflowDagsterPrefectDbtSQLMeshLangChainLlamaIndexN8nTableauPowerBISupersetMetabaseApache SparkFlinkKafka ConnectFivetranPandasNumPyPydantic

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: Canada

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 quality standards.
•Drive 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 through issue triage, contributor support, and user advocacy to shape the roadmap.
•Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities.

Pay and Benefits

Perks:Health InsuranceEquityTime OffHome OfficeRemote Work

Key Requirements

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

Experience:7+ yearsData engineeringData scienceMachine learningOpen sourceData warehousingReal-time analytics

Skills:CommunicationCollaborationProblem-solvingProduct thinking

Languages:English

Tech Stack:PythonApache AirflowDagsterPrefectDbtSQLMeshLangChainLlamaIndexN8nTableauPowerBISupersetMetabaseApache SparkFlinkKafka ConnectFivetranPandasNumPyPydantic

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn