PENN Entertainment aims to develop high-quality, sustainable data-driven solutions to improve profitability, growth, and user experience across its integrated entertainment, sports content, and casino gaming platforms.
Requirements
- A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms, and software design
- 2+ years of experience in data engineering
- Strong knowledge of Python
- Strong knowledge of relational databases and SQL
- Experience building out a scalable infrastructure to fit the needs of a growing company
- Experience in data ingestion, processing, and orchestration. Including Third-Party APIs, Change Data Capture, Streaming Data.
- Experience with BigQuery, Snowflake, or other cloud, SQL-based data warehouses
Responsibilities
- Collaborate with Data Science, Reporting, Analytics, and other engineering teams to build data pipelines, infrastructure, and tooling to support business initiatives
- Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture
- Collaborate with the team to meet performance, scalability, and reliability goals
- Write out tests and thorough documentation for processes and tooling
- Adapt to working with new technologies and frameworks, sometimes headlining the investigation into their usefulness to the team
- Maintain and expand existing systems, tooling, and infrastructure
- Maintain the data warehouse ensuring data integrity and performance
Other
- Strong organization and collaboration skills
- Excellent written and oral communications skills
- Experience working cross functionally with Data Scientists, Analytics Engineers, DevOps, and other engineering teams.
- Experience developing frontend applications, using JavaScript and React
- Experience with Java
