Senior Software Engineer - Integrations - AI/ML

Навыки

• API (интеграции)
• BI-инструменты
• Dagster / Prefect / Luigi
• ETL / ELT
• Flink
• GMV / MRR
• LLM

О компании и продукте

• Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
• The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
• We’re on a mission to transform how companies use data. Come be a part of our journey!
• The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Задачи

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• 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

Требования

• 7+ years of software development experience, including hands-on time as a 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

Будет плюсом

• 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
• Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
• The typical starting salary for this role in the US is
• The typical starting salary for this role in US Premium Markets is
• Compensation
• For roles based in the United States , t he typical starting salary range for this position is listed above
• In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed
• These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting
• The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments
• An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization
• If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com

Условия

• 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
• Culture - We All Shape It
• As part of a rapidly scaling start up, you will be instrumental in shaping our culture
• Are you interested in finding out more about our culture?
• Learn more about our values here
• Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse
• Equal Opportunity & Privacy
• ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws
• Please see here for our Privacy Statement
• 141,000 — $208,000 USD
• 157,000 — $232,000 USD

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