Swish Analytics is hiring a
Senior Data Engineer

Summary

Join a dynamic team at Swish Analytics as a Senior Data Engineer, working on real-time analytics systems, sports betting data products, and predictive analytics. This is a remote position with a salary range of $120,000 - 165,500.

Requirements

• 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

Responsibilities

• 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