Senior Data Engineer
Minneapolis, United States
Sportradar
Sportradar is the world’s leading sports technology company, at the intersection between sports, media and betting.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.
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 which allows flexibility of when and where you want to perform your job, as long as you are 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.
Qualifications
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
Additional Information
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.
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!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Data pipelines Engineering ETL Feature engineering Flink Java Kafka Kubernetes Machine Learning Model deployment Model inference Model training NiFi Pipelines Python SDLC Sports industry
Perks/benefits: Career development
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