Have at least four years of experience working with data and two years of experience in Software Engineering or a related field.
Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma).
Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries.
Deep knowledge of crafting dimensional and fact models in modern data fashion.
Have a passion for enabling the developer experience of data, and being obsessed with giving data super powers across the company.
Desire to lead the industry in security, anonymization, and compliance management when it comes to data warehousing.
Must be authorized to work in the U.S. without the need for current or future employer sponsorship.
Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.