About ClickHouse

We are the company behind the popular open-source, high performance columnar OLAP database management system for real-time analytics. ClickHouse works 100-1000x faster than traditional approaches. By offering a true column-based DBMS, it allows for systems to generate reports from petabytes of raw data with sub-second latencies. With an amazing community already adopting our open-source technology, we are now embracing our journey in delivering Cloud first solutions to delight our customers.

With top adopters such as Uber, Cisco, and eBay - not only do our products work at lightning speed, so do we.

We are an open and collaborative company. Our colleagues are curious, engaged and excited about what they do. If you want to work in an environment where you can learn, grow, be an agent of change and have your voice heard - then please read on!

As a Data Engineer on ClickHouse’s Data Warehouse team, you will be responsible for building our internal ClickHouse Cloud product analytics landscape and pipelines. You will enable our product and Go To Market teams to make data-driven product decisions by providing them with world-class data tools and interfaces.

In our analytical landscape we use the following stack:

ClickHouse
DBT
Airflow
Docker
Superset
Data ingestion tools
Postgres
Python
Cloud object storages
AWS

What you will be doing:

Together with the data analytics team, build complex data models that provide insights to business and engineering teams
Build data capturing pipelines that get data from various data sources (databases, APIs, streaming platforms) to the DWH
Own and evolve analytical infrastructure (horizontal scaling, solving performance issues, etc)
Designing and developing scalable and reliable logical data models for efficient data transformation and aggregation using DBT

What you bring along:

Love for data and a continuous drive to learn and grow
Strong SQL skills
Experience with ELT/ETL tools
Python experience
Excellent written and spoken English communication skills

What will be an advantage:

Experience with DBT
ClickHouse experience
Experience with cloud services and databases
Docker and Airflow

#LI-remote

General US Remote Salary Range

$99,450—$149,175 USD

Compensation

This role offers cash compensation and a stock options grant. For roles based in the United States, you can find above our typical starting salary ranges for this role, depending on your specific location.

The positioning of offers within a certain range depends on various factors, including: candidate experience, qualifications, skills, business requirements and geographical location.

If you have any questions or comments about compensation as a candidate, please get in touch with us at [email protected].

Perks

Flexible work environment - ClickHouse is a distributed company offering remote-first work to all employees
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 all countries.
A $500 Home office setup if you’re a remote employee.
Employee-driven international mobility- we enable you to relocate internationally if you wish (within certain countries and timelines and subject to role requirements, time zones and work permit considerations)