At a glance
- Workplace
- Onsite
- Location
- Atlanta
About the role
- The Data Engineering Internship at PrizePicks for Spring 2027 offers students the opportunity to work with the Data Engineering team to productionize data pipelines and create data products.
- Interns will learn how the team approaches data, scalability, performance, and analytics challenges while assisting with optimal sport data architecture.
Responsibilities
- Learn from the PrizePicks Data Engineering team on how we approach data, scalability, performance, and Analytics challenges.
- Assist with the creation and maintenance of optimal sport data architecture, ensuring data reliability in both speed and quality for data pipelines.
- Collaborate with other engineering teams and stakeholders to determine best paths for data ingestion, processing and creation of data products.
Requirements
- Strong computer science/engineering background, including Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field.
- Strong coding skills in Python and SQL.
- Demonstrable history of building robust data-intensive applications.
- Interest in sports and fantasy sports markets.
- Student Profile: rising juniors, seniors, Master's students, or recent graduates within 1 semester of graduation, authorized to work in the U.S.
Preferred qualifications
- Experience with Cloud Providers GCP/AWS/Azure.
- Demonstrable background/coursework building data pipelines and data-focused applications from scratch.
- Success in open-source projects.
- Strong organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams.
Benefits
- Housing stipend for those interns relocating to Atlanta
- Frequent catered lunches
- Networking and collaboration with fellow interns and industry professionals
- Social events with the Atlanta PrizePicks team
- PTO and Paid Holidays
Workplace
- Interns work onsite at the West Midtown Atlanta location.
Skills
- Python
- SQL
- GCP
- AWS
- Azure
