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 enterprise-grade integrations with orchestration and transformation tools, and drive the AI/LLM integration strategy for RAG architectures, feature pipelines, and LLM-powered data applications. Collaborate with Product, Cloud, and engineering teams while actively engaging the open-source community to triage issues and shape the roadmap.

Location: United States

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, 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 by designing connectors and patterns that fit RAG architectures, ML feature pipelines, and LLM-powered data applications.
•Engage actively 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

Salary: USD 141,000 - 208,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquityRemote WorkHome OfficePaid Leave

Key Requirements

•7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer.
•Design, build, and maintain 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 such as embeddings, vector search, feature pipelines, or LLM-powered tooling.
•Solid experience with the Python data ecosystem, including Pandas, NumPy, Pydantic, and related libraries.
•Strong database fundamentals including SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

Experience:7+ yearsData engineeringData scienceMLOpen source

Skills:CommunicationCollaborationOpen-source collaborationProblem-solving

Languages:English

Tech Stack:PythonPandasNumPyPydanticSQLApache AirflowDagsterPrefectDbtSQLMeshLangChainLlamaIndexN8nApache SparkFlinkKafka ConnectFivetranTableauPowerBISuperset

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

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, 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 by designing connectors and patterns that fit RAG architectures, ML feature pipelines, and LLM-powered data applications.
•Engage actively 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

Salary: USD 141,000 - 208,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquityRemote WorkHome OfficePaid Leave

Key Requirements

•7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer.
•Design, build, and maintain 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 such as embeddings, vector search, feature pipelines, or LLM-powered tooling.
•Solid experience with the Python data ecosystem, including Pandas, NumPy, Pydantic, and related libraries.
•Strong database fundamentals including SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

Experience:7+ yearsData engineeringData scienceMLOpen source

Skills:CommunicationCollaborationOpen-source collaborationProblem-solving

Languages:English

Tech Stack:PythonPandasNumPyPydanticSQLApache AirflowDagsterPrefectDbtSQLMeshLangChainLlamaIndexN8nApache SparkFlinkKafka ConnectFivetranTableauPowerBISuperset

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn