Senior Software Engineer – Python, Data Ecosystem

🕒 Julho 9

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $141.000 - $208.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

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ClickHouse

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2016

☁️ SaaS

🏢 Corporativo

🤖 Inteligência Artificial

SaaS • Enterprise • Artificial Intelligence

ClickHouse é um data warehouse em tempo real rápido e eficiente no uso de recursos e um banco de dados open source, projetado para oferecer desempenho superior de consultas para aplicações de missão crítica e sensíveis ao tempo. Está disponível como serviço em nuvem nas principais plataformas, como AWS, GCP e Azure, com opção de "Bring Your Own Cloud" e uma ampla gama de integrações para operação fluida em diferentes stacks de tecnologia. O ClickHouse se destaca em analytics em tempo real, machine learning, business intelligence e observabilidade, sendo uma escolha ideal para tarefas como serviços financeiros, detecção de fraudes e analytics para jogos. Ele oferece operações SQL amigáveis para desenvolvedores, soluções de armazenamento com ótimo custo-benefício e uma alternativa open source a bancos de dados tradicionais. Empresas como Sony, Lyft, Cisco, GitLab e Twilio utilizam o ClickHouse por sua escalabilidade, eficiência e facilidade de uso.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.