Make the Sportradar team smarter, faster, and stronger. Come work for and shape one of the fastest growing sports tech companies in the world. As a market innovator, Sportradar is valued at $3.5 billion+, backed by prominent investors Ted Leonsis and Michael Jordan, and a partner to the top leagues and federations around the world including the NBA, MLB, FIFA and UEFA.
We are a founder-led company with a fast-paced, growth-focused spirit that invites employees to pave their own path and make a personal impact in driving the company forward.
This position offers tremendous opportunities to work with the only company that delivers on-demand professional-level basketball, baseball, and hockey analytics linked to supporting video to nearly 1500 pro teams, international, and college teams. Our systems are highly complex and contain petabytes of data and video requiring extremely talented engineers to maintain the scale and efficiency of its products.
As a member of the Sportradar team, its engineering team will contribute to the ongoing development of Sportradar’s revolutionary online sports data and video delivery solutions, building applications such as:
- Sports Analytic Systems
- Video Editing and Capture Systems
- Data Logging and annotation Systems
- Computer Vision, Data and Video Pipeline for Operations Systems
- Backend Data and Video API Platforms
We are a globally distributed team and we work on an asynchronous model with the flexibility of when and where you want to perform your job, while still being able to attend team calls and regular meetings. Personal initiative and a strong work ethic are highly encouraged and rewarded. The company is deadline-driven and provides a very transparent freedom and responsibilities culture to all our teams. We strongly believe striking the balance between work and family is very important and our culture is focused on the well-being of our team and their loved ones.
Very well
Java
- Design, Build, and Implement generalized large-scale, sophisticated data pipelines for downstream analytics and data science for our Sport Performance products
- Lead collaboration with other engineering teams to adopt standard methodologies, drive scalability, and increase consistency across our systems
Requirements
- 3+ years of experience working in data engineering or related field
- Proficient in Java
- Demonstrated strength in ETL development and warehousing
- Excellent problem-solving, analytic, and debugging skills
- A strong sense of ownership and self-leadership
- Excellent grasp of software development life cycle and/or agile development environment
Bonus Superpowers
- Experience with Apache Nifi
- Experience with Flink
- Experience in building end to end ML engineering infrastructure including feature engineering, model training, model deployment and model inference
- Experience building systems to orchestrate batch and streaming pipelines
- Experience with Docker and Kubernetes
Sportradar is a technology first software development company with high emphasis on building high performing services on best practice principles, and the global leader in understanding and leveraging the power of sports data and digital content.