Business Intelligence Data Engineer

2-5 years of data development experience in SQL and 1+ years of experience in object-oriented programming languages (i.e. Python)
Experience in database design, 3NF, dimensional modeling, or star schema.
Experience with Big Data technologies (Snowflake, Databricks/Spark, Trino)
1+ years of data modeling experience using dbt
Experience with building data integration / pipeline to support business operations using reverse ETL tools
Experience with reporting tools like Tableau/Looker/Thoughtspot
Comfortable with massive amounts of semi-structured data
Has knowledge of data engineering best practices (data discovery, data documentation, infrastructure development/deployment, and information security)
Masters degree in data Engineering or undergraduate degree and equivalent experience

Develop and maintain the ‘source of truth’ data environment used by everyone at Klaviyo to measure the health of the business.
Work with petabyte scale databases optimized for business analytics
Develop data models that power predictive recommendations, marketing attribution, and financial forecasts to support the decision-making within the organization.
Collaborate on a regular basis with the following teams at Klaviyo: Finance, Go-To-Market, Engineering, Customer Success, Support, Product, Sales, and Marketing.
Work with a team of data engineers and analysts to build a world-class, self-service data environment that everyone at the company can use.

Masters degree in data Engineering or undergraduate degree and equivalent experience