Swish Analytics is a sports analytics startup seeking Data Engineers to build real-time data products. The role involves architecting low-latency systems, integrating large datasets, and developing predictive analytics.
Requirements
- 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
- 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
Benefits
- Paid time off
- Health insurance
- 401k matching
- Other benefits not specified