Data Engineer: Scalable Pipelines & AI Analytics

Perform is seeking a data engineer to support data-driven decision making through the development of reliable and scalable data pipelines. The successful candidate will utilize modern data stack tools to ensure data accuracy and reliability.

The role includes responsibilities such as building ETL processes, developing SQL database solutions, and optimizing models in Snowflake. Strong programming skills and experience with tools like Apache Airflow and Looker are required.