The Phillies are looking to optimize how data flows throughout their organization, from ingestion to modeling to application, to empower data-driven decision-making and shape the evolution of their analytics systems.
Requirements
- At least 5 years of professional experience in data engineering or software development, working with large-scale data systems.
- Fluency with Python and SQL.
- Experience with modern data engineering tools and cloud platforms (e.g. Google Cloud, AWS, Azure).
- Experience with workflow orchestration tools such as Apache Airflow, Dagster, or Prefect.
- Familiarity with containerization and deployment technologies such as Docker and Kubernetes.
- Solid understanding of data pipelines, ETL/ELT workflows, and performance optimization.
- Experience with data modeling, data warehousing concepts, and/or relational database optimization for backend systems.
Responsibilities
- Design, develop, and maintain scalable data pipelines and systems that support predictive modeling, reporting, and internal applications.
- Architect and optimize cloud-based data platforms and backend databases to ensure performance, reliability, and cost-efficiency.
- Build systems that enable the flow of curated, high-quality data across the organization.
- Promote best practices in data engineering, including testing, monitoring (Datadog, Prometheus), documentation, and code review.
- Cultivate a deep familiarity with the internal and external data sources used at the Phillies and continuously evaluate if they are providing value to the organization.
- Collaborate with data science and engineering to design, implement, and maintain real-time data pipelines that serve as the foundation for analysis and decision-making.
- Collaborate with data science, application engineers, and product teams to build new features.
Other
- Excellent problem-solving and communication skills, with a collaborative mindset.
- Demonstrated leadership and self-direction.
- Passion for working with sports data and research.
- Open to Remote
- All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
