Data Engineer

Summary

Join Swish Analytics, a sports analytics startup, as a Senior Data Engineer and directly impact the infrastructure and delivery of core data offerings. This remote position requires building low-latency, real-time analytics systems, developing new sports betting data products, and integrating complex datasets into consumer and enterprise products. You will also develop predictive analytics into APIs, support production systems, and contribute to automated data delivery frameworks. The ideal candidate possesses a strong background in Python, SQL, and data engineering principles, along with experience in cloud computing and sports betting. A competitive salary is offered.

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
• Must have knowledge and understanding of NBA OR NFL 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

Benefits

• Remote work
• Salary: $120,000 - 165,500