Senior Software Engineer, ClickHouse
Python and Data Ecosystem
+ Equity
Open-source database for real-time apps and analytics
Be an early applicant
Open-source database for real-time apps and analytics
201-500 employees
Be an early applicant
+ Equity
201-500 employees
Company mission
To allow users to generate analytical reports using SQL queries in real-time.
Role
Who you are
- We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand
- The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them
- You don't just build integrations, you bring product-level insight into what we should build and why
- 7+ years of software development experience, ideally with 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)
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
- Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
- Strong understanding of 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 skills; comfortable collaborating across engineering functions and with open-source communities
Desirable
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- 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
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
- As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem
- This role sits at the intersection of high-performance database engineering and developer experience
- You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use
- You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:
- Orchestration Platforms: Apache Airflow, Dagster, Prefect
- Transformation Tools: dbt, SQLMesh
- AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications
- ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems
- 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 too, the most recent of which is cited to help advance its platform across multiple use cases. Alongside this funding, it recently announced the acquisition of LibreChat, an open-source AI chat platform, allowing ClickHouse 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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