Senior Analytics Data Engineer BigQuery
Penn Interactive Ventures
Build BigQuery transformation pipelines remotely as a Senior Data Engineer supporting sports betting, casino gaming, and media products. PENN Entertainment’s Data Services team needs a senior engineer to transform data and meet stakeholder requirements. You will combine Python, SQL, dbt, Airflow, and relational database expertise across analysis and modeling work. Interest in sports and consumer products supports this environment. Key Responsibilities:
Liaise with engineers to build data pipelines Use SQL to develop and optimize dbt models Manage Airflow scheduling and related tasks Assist with analysis and modeling data issues Support data exploration tool adoption organization-wide Requirements:
Four or more years of analytics engineering experience Degree in Computer Science, Statistics, Business, or related field Hands-on expertise with BigQuery and Python Proven transformation pipeline optimization experience Interest in sports and consumer products Bring BigQuery, Python, SQL, and transformation pipeline expertise to PENN Entertainment’s digital data services work.
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Liaise with engineers to build data pipelines Use SQL to develop and optimize dbt models Manage Airflow scheduling and related tasks Assist with analysis and modeling data issues Support data exploration tool adoption organization-wide Requirements:
Four or more years of analytics engineering experience Degree in Computer Science, Statistics, Business, or related field Hands-on expertise with BigQuery and Python Proven transformation pipeline optimization experience Interest in sports and consumer products Bring BigQuery, Python, SQL, and transformation pipeline expertise to PENN Entertainment’s digital data services work.
#J-18808-Ljbffr
Reference: WJ-3875_16154711 · Posted 11 Nov 2026, 08:40 PM