Job DescriptionThe Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're 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- Support production systems and help triage issues during live sporting events
- 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
- 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 4+ 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
- Professional working experience with MLB or NBA data
Salary: Starting at $145,000 - DOE
Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote
