Senior Data Engineer

New York City, United States

Applications have closed

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

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.

Team Objectives & Responsibilities

  • 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

  • 5+ years of experience working in data engineering or related field
  • Proficient in Java or Python
  • 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

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. From Deep learning and Computer vision to Kubernetes and the latest cloud technologies.
  • Competitive salary based on your experience.

Pay Range:   $132,300 - $165,000
Sportradar intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors including but not limited to experience, qualifications, and location. Base pay is just one component of the Total Rewards that Sportradar provides to compensate and recognize employees for their work. Sportradar offers best-in-class benefits such as a comprehensive benefits package, performance bonus program, equity stock purchase and 401k contribution. Please consult with your recruiter to learn more as all benefits are subject to eligibility requirements.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Sportradar is an Equal Opportunity Employer. We are committed to encourage diversity within our teams. All qualified applicants will receive consideration without regard to among other things, your background, status, or personal preferences 

Tags: Agile APIs Computer Vision Data pipelines Deep Learning Docker Engineering ETL Feature engineering Flink Java Kubernetes Machine Learning Model deployment Model inference Model training NiFi Pipelines Python SDLC Sports industry Streaming

Perks/benefits: 401(k) matching Career development Competitive pay Equity Salary bonus

Region: North America
Country: United States
Job stats:  7  1  1
Category: Engineering Jobs

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