Senior Software Engineer, ClickHouse
Integrations, AI/ML
+ Equity
More information about location
Open-source database for real-time apps & analytics
Open for applications
Open-source database for real-time apps & analytics
501-1000 employees
Open for applications
+ Equity
More information about location
501-1000 employees
Company mission
To allow users to generate analytical reports using SQL queries in real-time.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- The Connectors team is the bridge between ClickHouse and the broader data 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
- Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data
- We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience
- 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
Our take
Database management systems have long been important to the operations of businesses. However, these systems can be painfully slow. ClickHouse solves this problem with its ultra-fast database management system, that powers real-time analytics and apps.
ClickHouse's founding team hail from companies including Yahoo!, Netflix, Salesforce and Google. This has not only lent the company an impressive amount of credibility, but has also allowed it to identify the needs and challenges of enterprises when it comes to their databases. Its system works between 100 and 1,000 times faster than traditional options, and has led to the company being trusted by the likes of eBay, Uber and Spotify.
It has seen substantial funding and acquired LibreChat, an open-source AI chat platform, allowing it to launch its Agentic Data Stack. This move positions the company at the forefront of agentic analytics, allowing organizations to interact with massive datasets through AI agents, and demonstrates ClickHouses's commitment to shaping the future of real-time, intelligent data analysis.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Jan 2026
$400m
LATE VC
May 2025
$350m
SERIES C
Total funding: $1.1bn
Company benefits
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 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
Company HQ
Old Palo Alto, Palo Alto, CA
Leadership
Aaron Katz
(Co-Founder & CEO)Prior to ClickHouse, Aaron spent 6 years at Elastic as CRO and Strategic Advisor. He also spent 12 years at salesforce, joining as a Regional VP of Sales before working through various roles to become the Senior VP of Enterprise Sales.
Yury Izrailevsky
(Co-Founder & President)Previously, Yury spent 3 years at Google as a VP of Engineering, 8 years at Netflix as a Director of Cloud and Systems Infrastructure and VP of CLoud Computing and Platform Engineering, and 8 years at Yahoo! as a Manager of Yahoo Data Warehouse and Director of Engineering.
Alexey Milovidov
(Co-Founder & CTO)Prior to becoming CTO in 2021, Alexey was the Head of CLickHouse and Yandex for over 13 years.
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