About the job
Senior Data Engineer
San Francisco, CA - Remote
Our client is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. They believe that odds making is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. Looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
Job Description
Senior Data Engineers to have direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings. A team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
San Francisco, CA - Remote
Our client is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. They believe that odds making is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. Looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
Job Description
Senior Data Engineers to have direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings. A team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
- 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
- Support production systems and help triage issues during live sporting events
- Contribute to the design and implementation of new, fully-automated sports data delivery frameworks
- BS/BA degree in Mathematics, Computer Science, or related STEM field
- Minimum of 5+ years of demonstrated experience writing production level code (Python)
- Proficiency in Python and SQL (preferably MySQL); minimum of 5 years of experience
- 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
- Knowledge of sports betting. An understanding of US-based sports including the NFL, NBA, MLB, NHL, Tennis, College Football/Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets
