Job description
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 12-month contract position offers tremendous opportunities to work with the only company that delivers on-demand professional-level basketball and baseball 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 data engineering team, you will contribute to building out our new real-time data pipeline for player tracking data.
Our work environment is geographically distributed, with employees working from home offices. The successful candidate must be comfortable working in a virtual office using online collaboration tools for all communication and interaction in English. We are a globally distributed team, and we work on an asynchronous model with 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 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.
Note: This is a fully remote job, and your physical location can be anywhere in the US
Team Objectives & Responsibilities
- Design, Build, and Implement generalized large-scale, sophisticated data pipelines for downstream analytics and data science for our products
- Lead collaboration with other engineering teams to adopt standard methodologies, drive scalability, and increase consistency across our systems
- Propose directions to improve operational processes and methodologies
Requirements
- 3+ years of experience working in data engineering or related field
- Proficient in Java
- 1-3 years of experience using Apache Flink
- 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:
- Proficiency in Python
- Experience in building end to end ML engineering infrastructure including feature engineering, model training, model deployment and model inference
- MongoDB or other NoSql technology
- Kubernetes or other container orchestration technologies
- Previous experience leading a team
- Experience working in a remote environment
Benefits
Work remotely on a fully distributed and asynchronous team.
Big problems, massive impact. We’re working on big scalability challenges and our flat structure means individuals have an incredible amount of impact on everything they touch.
A-players only. Join our team of best-in-class engineers to disrupt the sports industry and learn, share and grow with great peers on a daily basis.
A culture geared towards innovation and experimentation. From Deep learning and Computer vision to Kubernetes and the latest cloud technologies.
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