Job Description
In this role, the Data Engineer supports and builds end-to-end data pipelines across both on-premise environments (roughly 65% of the time) and the Azure cloud (about 35%), working as part of a small, collaborative team that includes two other Data Engineers and a Data Scientist. On a daily basis, they are designing, developing, and maintaining ETL workflows using SSIS—extracting data from various sources, performing data cleansing and validation, and integrating it into downstream systems to ensure accuracy and reliability. They also serve as an administrator within SSAS, building and maintaining data models, supporting analytical structures, and ensuring data is optimized and accessible for reporting and business intelligence. In close collaboration with the other engineers, they help troubleshoot pipeline issues, optimize performance, and share best practices across the data ecosystem, while partnering with the Data Scientist to ensure datasets are properly struct...