ClickHouse Support & Data Engineer


  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 04/23/2021
  • Website:
  • Company Address: 2001 Addison Street, Suite 300, Berkeley, CA, 94704

About Altinity

Altinity is the leading enterprise provider for ClickHouse – an open-source column-store analytic database now a managed service available on Altinity.Cloud. Altinity helps customers worldwide take advantage of the cutting edge technology for managing and analyzing huge volumes of data without expensive license costs. Altinity provides 24/7 ClickHouse Support and Professional Services.

Job Description

Altinity is looking for database geeks able to guide users around the globe in building ClickHouse applications. We serve a rapidly expanding customer base as well as the broader ClickHouse open source community. Your responsibilities will be divided as follows:

  • Support (75% of time)
    • Helping build production-grade systems based on ClickHouse: advise how to design schemas, plan clusters etc. Environments range from single node setups to clusters with 100s of nodes, including Altinity.Cloud, our managed ClickHouse service. 
    • Working with the community – GitHub, Stack Overflow, Telegram.
  • Research and development (25% of time)
    • Studying new usage patterns, ClickHouse functions, & integration with other products.
    • Writing tech articles – for Altinity blog and internal KB.
    • Improving infrastructure projects around ClickHouse
    • Improving ClickHouse itself – fixing bugs, improving docs, creating test-cases, etc.

Candidates need to meet the following qualifications:

  • Expert SQL knowledge for one of: ClickHouse (preferred), MySQL, PostgreSQL, Oracle, SQL Server.
  • Strong Linux shell skills / bash scripting skills
  • Experience with running production-grade systems
  • Technical English writing and speaking skills
  • Docker self-defense skills
  • Basic knowledge of distributed system concepts and big data technology stacks
  • Knowledge of at least one programming language (Python, C++, Java, Go)
  • University degree (IT/math) or equivalent experience

The following additional qualifications are a significant plus:

  • Kubernetes knowledge and operating experience
  • Experience with big data stack components like Hadoop, Spark, Kafka, Nifi, …
  • Experience with data science/data analysis
  • Knowledge of SRE / DevOP stacks – monitoring/system management tools (Prometheus, Ansible, ELK, …)
  • Version control using git

This is a full-time position and includes an equity position in the company. You may work anywhere you have work permits but we prefer candidates within North America and Europe.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.