Teams at Penn Interactive

Design, scale, and operate business-critical services for player registration, authentication, identity verification, fraud and AML screening, compliance, responsible gaming, and communications. The role involves API and database performance tuning, architecture, integrations, monitoring, production reliability, data migrations, technical documentation, and mentoring engineers. Work includes supporting regulated, high-throughput systems using containers, asynchronous infrastructure, relational databases, and third-party providers in an agile environment.

Build and validate transformed data, develop dbt models, manage Airflow scheduling, and support data pipelines. Analyze data and present recommendations to stakeholders, ensure insight accuracy, implement data exploration tools, and mentor team members. The role requires collaboration across business and engineering teams, strong SQL expertise, and experience with BigQuery, dbt, Airflow, Python, and relational databases.

Drive enterprise automation initiatives from opportunity identification through delivery and optimization. Partner with business leaders, engineering teams, RPA specialists, AI strategists, and vendors to prioritize and implement scalable solutions. Manage the automation portfolio, discovery and intake processes, vendor relationships, delivery alignment, KPIs, and continuous improvement efforts. Evaluate AI-supported solutions and ensure automation initiatives meet business, compliance, technical, and operational objectives.