This role sits within our Data Warehouse Operations group within DWI. The team has two primary missions: 1) Improving the performance and cost efficiency of Looker and Snowflake assets through targeted consultation and automation 2) Integrating, configuring, and administering 3rd party tools within our data infrastructure. They also support internal analytics teams who build on top of our data infrastructure, and partner with software engineers on the Data Platform Pillar of DWI, who are building the first-party systems within that infrastructure. We're looking for individuals who: Have hands-on experience developing and supporting a modern data infrastructure, including cloud data warehouses such as Snowflake,and BI tools such as Looker, Airflow, Dagster, and dbt. Are highly proficient in SQL, with a focus on data warehousing best practices. Specific experience with dbt is preferred. Have a passion for solving problems at scale through automation. Have a strong empathy for our internal customers and the problems they are solving Can triage bugs and questions in our own codebase. Most of our backend codebase is in Java, but we also have elements written in Python. Understand the value of building a diverse team, and are champions and upstanders for Diversity, Inclusion, and Belonging initiatives. Bring industry best practices to help us improve our existing data infrastructure, and continue to scale it with the growth of the business. Are committed to data quality, security, and privacy.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees