Senior Data Engineer
Senior Data Engineer
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Salary Not Disclosed
1 Vacancy
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 founderled company with a fastpaced growthfocused 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 fulltime position offers a tremendous opportunity to work with a company that is delivering ondemand 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 realtime 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 wellbeing of our team and their loved ones.
Team Objectives & Responsibilities
Design Build and Implement generalized largescale 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 problemsolving analytic and debugging skills
A strong sense of ownership and selfleadership
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 realtime data pipeline
Experience working in a remote environment
Love of Sports or Sports data
Benefits
- Big problems massive impact. Were working on big scalability challenges and our flat structure means individuals have an incredible amount of impact on everything they touch.
Aplayers only. Join our team of bestinclass 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 youre willing to learn and grow with us we invite you to join our team!
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
