Software Engineer II - Data Warehousing

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyos brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo?

Visit  to see how we empower creators to own their destiny.

We love tackling tough engineering problems and look for Engineers who are passionate about building, owning, and scaling features and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last.

Klaviyo operates a real-time data platform written in Python and built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

The Data Warehousing Team is responsible for the majority of real-time analytical queries  process thousands of queries per second to power Klaviyo’s analytical reporting capabilities.

As a software engineer on this team, you will be responsible for designing, building, and maintaining systems to support core product areas in Klaviyo. You will work with a cross functional team to help refine feature specifications, write technical design documents, create system infrastructure, write high quality code, and operate large scale systems in production. You will also review other engineer’s designs and code to provide technical feedback and improvements as you grow your own skill set.

• Python
• Click House
• Kafka
• Zoo Keeper
• Django
• Redis

• Highly skilled in using at least one modern programming language
• 5+ years of experience in a software engineering discipline
• Significant experience with backend, service oriented application development
• Experience with OLAP databases
  • schema design
  • normalization / denormalization trade-offs
  • performance
  • operations
• Able to communicate well
• Able to work with others on a team
• Able to learn continuously and adapt to a high growth environment