Data Engineer

Job Summary

Supporting the infrastructure and delivery of core consumer and enterprise data offerings, the fully remote Data Engineer will architect low-latency analytics systems, build new sports betting data products, and integrate complex real-time datasets.

Key responsibilities

• Support production systems and triage issues during live sporting events
• Architect real-time analytics systems and develop production-level predictive analytics into APIs
• Build and integrate new sports betting data products and automated data delivery frameworks

Required qualifications

• BS/BA degree in Mathematics, Computer Science, or a related STEM field
• Minimum of 2+ years of experience writing production-level code in Python
• Proficiency in Python and SQL, with experience in Airflow and Kubernetes
• Experience building end-to-end ETL pipelines and utilizing REST APIs
• A strong interest in sports and sports betting, particularly Tennis, along with knowledge of major US sports