Remote Senior Data Engineer
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Description:
- Architect low-latency, real-time analytics systems for 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
Requirements:
- BS/BA degree in Mathematics, Computer Science, or related STEM field
- Minimum of 5+ years of demonstrated experience writing production-level code in Python
- Proficiency in Python and SQL (preferably MySQL) with a minimum of 5 years of experience
- Demonstrated experience with Airflow and Kubernetes
- Experience building end-to-end ETL pipelines
- Experience utilizing REST APIs, 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, including US-based sports like NFL, NBA, MLB, NHL, Tennis, College Football/Basketball
Benefits:
- Competitive salary range of $120,000 - $165,500
- Remote position
- Opportunity to work with the latest technologies in predictive sports analytics
- Collaborative team environment
- Equal Opportunity Employer with a diverse and inclusive workplace
About the job
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