Senior Data Engineer SQL dbt
Description
Identify data-driven projects with business stakeholders Build pipelines and resolve related data engineering issues Develop dbt models using SQL expertise Manage Airflow tasks and scheduling Present accurate recommendations and mentor team members Requirements:
University degree in a related field Minimum four years in analytics or data engineering Hands-on BigQuery, dbt, Airflow, Python, and relational databases Experience building and optimizing transformation pipelines Looker or Mode experience and stakeholder relationship skills Apply Senior Data Engineering expertise in SQL, dbt, Airflow, and pipeline development across PENN’s digital team.