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Synergy Sports Technology, named by Fast Company as one of the world's top 10 most innovative companies in sports, seeks talented Senior Data Engineer to join our software team.
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 Synergy team, its engineering team will contribute to the ongoing development of Synergy’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 Python
- Demonstrated strength in ETL development and warehousing in a cloud environment (AWS, Azure, etc...)
- Experience with orchestration tools such as Airflow
- 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
- Experience building systems to orchestrate batch and streaming pipelines
- Experience working with data in distributed environments using tools like PySpark
- Experience with C# (latest version with a preference to .NET Core)
- MongoDB or other NoSql technology
- Docker
Benefits
- Big problems, massive impact. We’re working on big scalability challenges and our flat structure means iniduals 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.
