Senior Software Engineer - Python and Data Ecosystem

ClickHouse

38d • Remote

About The Position

ClickHouse is a fast-growing cloud company leading the market in real-time analytics, data warehousing, observability, and AI workloads. The Connectors team builds and maintains integrations that make ClickHouse accessible to a wide range of users and tools, from data visualization plugins to connectors for data frameworks and AI tooling. This role is crucial in shaping how companies process massive datasets and build AI-powered data applications. As a Senior Software Engineer specializing in Python and the Data Ecosystem, you will be a core contributor to ClickHouse's data engineering ecosystem, working at the intersection of high-performance database engineering and developer experience. You will craft tools that enable Data Engineers and Data Scientists to leverage ClickHouse's capabilities within their existing frameworks. The ideal candidate has firsthand experience as a Data Engineer or Data Scientist, understanding the evolving landscape of data practitioners' workflows, including AI-powered applications, vector stores for RAG pipelines, and LLM-powered agents. You will own the full lifecycle of key Python integrations, influencing architecture, performance, and feature direction across orchestration platforms, transformation tools, and the AI/LLM ecosystem. Your work will ensure ClickHouse is the natural choice for next-generation AI and data systems.

Requirements

• 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

Nice To Haves

• 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

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: 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

Benefits

• Employer contributions towards your healthcare
• Stock options
• Flexible time off in the US
• Generous entitlement in other countries
• $500 Home office setup if you’re a remote employee
• Opportunities to engage with colleagues at company-wide offsites

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed