Senior Data Engineer, ClickHouse
Dbt, CI/CD
$84-170k
+ Stock Options
Open-source database for real-time apps & analytics
Be an early applicant
Open-source database for real-time apps & analytics
501-1000 employees
Be an early applicant
$84-170k
+ Stock Options
501-1000 employees
Company mission
To allow users to generate analytical reports using SQL queries in real-time.
Role
Who you are
- Exceptional SQL skills - this is non-negotiable
- Strong hands-on experience with Airflow, dbt, and Python
- Proven track record building and optimizing large-scale, high-throughput data pipelines
- Solid understanding of data warehousing fundamentals: ETL/ELT, dimensional modeling, and data quality
- Bachelor's degree in Computer Science or a related field
- Comfortable thriving in a fast-paced startup environment — exciting and dynamic, but sometimes wonderfully chaotic
Desirable
- Hands-on experience with ClickHouse - a significant advantage
- Familiarity with AWS or other cloud platforms
- Experience with CI/CD development, especially using GitHub Actions
What the job involves
- At ClickHouse, we believe in making product decisions grounded in data, not gut feelings
- To support that, we've built a comprehensive internal data warehouse — read more about it on our blog
- It powers analytics, forecasting, and decision-making across every team in the company
- Our stack centers on ClickHouse as the core storage and processing engine, complemented by dbt, Airflow, S3, AWS, Superset, and GitHub Actions
- We ingest data from 30+ distinct external sources, process over 2.5 PB of data, and deliver most data marts to business consumers with a 1-hour end-to-end latency - a standard that demands highly optimized, rock-solid transformation pipelines
- We're looking for a Senior Data Engineer to help evolve the DWH platform, push its technical boundaries, and deliver reliable, high-performance data models to business users across the organization
- DWH Platform Development
- Design and develop reusable Airflow components - operators, connectors, and hooks - along with custom integrations tailored to our data architecture
- Build reusable dbt macros and abstractions: incremental strategies, ETL building blocks, and generic data quality tests, all optimized for ClickHouse-specific behavior and our data patterns
- Develop DataOps tooling - CI pipelines, data migration frameworks, and security controls - with a strong focus on reliability, self-service usability, and scale
- Team contributions
- Conduct thorough code reviews for team members and other team contributors
- Actively participate in technical and architectural design discussions
- Drive technical leadership in specific areas of our stack
- Continuously improve the team's development environment, with a focus on automation - including AI-assisted workflows
- Contribute to platform stability through proactive troubleshooting and timely incident resolution
- Data modeling
- Develop, refactor, and optimize business data models in line with our modeling standards and ClickHouse best practices
- Mentor and support contributors through code reviews and technical guidance
- Lead the design and implementation of the most technically demanding data marts - particularly those involving high data velocity, large volumes, or complex business logic
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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