Software Engineer, Data Quality

(Open to US-based Remote Candidates) Second Spectrum   is a Sports Emmy-winning data & tech company  that is building  the next way of seeing sports - by capturing and producing the highest quality data and innovative content for many of the world’s largest leagues and media partners, such as the NFL, NBA, MLB, English Premier League, ESPN, Amazon, and CBS Sports. In 2021, Second Spectrum was acquired by Genius Sports. Powered by an incredibly driven and ambitious team, Second Spectrum is the place to work if you’re interested in cutting edge technology in sports. Our innovative and dynamic environment emphasizes opportunities for motivated individuals to maximize their growth and impact. The Role – Software Engineer, Data Quality ($125K-$180K base salary, depending on experience) We are looking for a Software Engineer to join our Data Quality group to develop monitoring and quality improvement systems for our tracking and derived data. This group works closely with our Computer Vision, Tracking Systems and Artificial Intelligence groups, developing processing algorithms that are part of our live and post-game data pipeline, as well as tools and systems for data quality analysis and monitoring. Responsibilities Develop tools and systems for evaluating, analyzing and monitoring the quality of our tracking data and tracking-derived data products Develop real-time and post-game algorithms for processing data, improving quality and identifying QA tasks Build, test, deploy and maintain production systems Develop, document and communicate processes for operational staff Maintain best practices for software development, including deployment process, documentation and coding standards Requirements BSc or MSc or equivalent experience with a strong software engineering component Experience with Rust, Python or Typescript Affinity for teamwork and collaboration with others to solve problems, share knowledge and provide feedback Ability to discuss technical concepts with technical and non-technical colleagues Flexibility and availability for on-call work, outside of regular business hours, as needed to support live sports Nice to haves Experience with data pipelines, devops, data analysis