
Explore what our Data Engineering team does
Data Engineering at Huddle is about managing the massive flow of sports data (NBA, MLB, etc.) from the stadium to our models. You will design and maintain the pipelines that handle real-time streaming data regarding bets and markets, ensuring our teams have the high-quality data they need.
Apply if you are interested in:
- Architecting distributed pipelines with Apache Spark, Snowflake, and Airflow
- Handling high-volume betting markets via Kafka and Spark
- Turning messy, unstructured data into optimized, clean information used in models and reporting
- Taking ownership of deployment and management, ensuring high standards for data security, code quality, and infrastructure reliability
- Applying Business knowledge and context into data finding and presenting valuable information as complex dashboards
Who should apply
Data engineers of all seniority levels with a background in Computer Science, Data Science or a related field. If you enjoy working with high volumes of real-time sports data, and want to make an impact in the sports tech industry, we’d be happy to hear from you.
How it works
Submit your application to join our talent pool. We’ll keep your profile on record, and if a suitable opportunity comes up in the future, we’ll get in touch directly. Please note that this is not an immediate hiring process.