Data Engineer (EU)

BS/BA degree in Mathematics, Computer Science, or related STEM field Minimum of 2+ years of demonstrated experience writing production level code (Python) Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow Demonstrated experience with Kubernetes Experience building end-to-end ETL pipelines Experience utilizing REST APIs Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS) Experience with web scraping and cleaning unstructured data Knowledge of data science and machine learning concepts A strong interest for sports and sports betting, with an emphasis on Tennis Understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball

Support production systems and help triage issues during live sporting events Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production Build new sports betting data products and predictions offerings Integrate large and complex real-time datasets into new consumer and enterprise products Develop production-level predictive analytics into enterprise-grade APIs Contribute to the design and implementation of new, fully-automated sports data delivery frameworks