Senior Data Engineer

Company Description

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description

Come work for one of the fastest growing sports tech companies in the world. As a market innovator, Sportradar is valued at over $5 billion and backed by prominent investors Ted Leonsis and Michael Jordan.,  

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. We want you to make the Sportradar team smarter, faster, and stronger. 

Sportradar is a partner to the top leagues and federations around the world including the NBA, MLB, FIFA and UEFA. This full-time position offers a tremendous opportunity to work with a company that is delivering on-demand sports data with supporting video to nearly 1500 pro, 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 basketball data.   

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.  

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 

• 5+ years of experience working in data engineering or related software field 

• Proficient in Python 

• Demonstrated strength in ETL development and warehousing 

• Kubernetes or other container orchestration technologies 

• 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 in building end to end ML engineering infrastructure including feature engineering, model training, model deployment and model inference 

• Proficiency in Java 

• Experience with Flink for stream processing 

• Experience with NiFi for data processing and workflow automation 

• Experience with Kafka for messaging and real-time data pipeline 

• Experience working in a remote environment  

• Love of Sports or Sports data 

Benefits  

• 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. 

Additional Information

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!