Senior Software Engineer – Python, Data Ecosystem

🕒 July 9

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ClickHouse

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.

📋 Description

• 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.

🎯 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.

🏖️ Benefits

• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries. • Healthcare - Employer contributions towards your healthcare. • Equity in the company - Every new team member who joins our company receives stock options. • Time off - Flexible time off in the US, generous entitlement in other countries. • A $500 Home office setup if you’re a remote employee. • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.