PlayOn! Sports is the nation's leading high school media and technology company, providing streaming and digital ticketing services to thousands of high schools nationwide. In 2013, PlayOn! Sports and the National Federation of State High School Associations (NFHS) created the NFHS Network, a joint venture that aggregates the sports media and related rights of state high school athletic associations while celebrating the accomplishments of student-athletes, student broadcasters, and high schools across the country. Through the NFHS Network, PlayOn! Sports provides automated production capabilities free of charge to schools which allows them to live-stream via artificial intelligence and automation thus avoiding the need for production personnel.

In 2022, PlayOn! Sports and GoFan (backed by KKR a leading global investment firm), the leading digital ticketing company in the high school sports market, joined forces to create a streamlined customer experience for in-person, live-stream, and on-demand events.  There are 19,500 high schools in the NFHS ecosystem and PlayOn! Sports currently works with over 50% of them.  Going forward, the company is focused on: 1) continuing to grow the number of schools it works with; 2) continuing to grow the average revenue per school; 3) expanding the products and services it provides to the high school ecosystem beyond streaming; 4) expanding outside of high school sports.

PlayOn! Sports is looking for a Data Software Engineer skilled in Python programming and SQL expertise. You will be responsible for ensuring data quality of our Payments product. You will play a pivotal role in developing robust data-driven solutions while ensuring seamless data validation processes.

Additional responsibilities and accountabilities for this role include:

• You should be hands-on and comfortable in an Agile environment.

• Writing code to test and validate the business logic encoded in the database SQL code and other code repositories. 

• Test back-end API interfaces for the financial platform. 

• Build tools that help developers be more productive, write better code and test it themselves.

• Provide a risk assessment on the defects identified and set the correct priority and severity.

• Define the scope and procedures for quality engineering of the application, including the development and maintenance of automated scripts.

• Understanding of how API-driven applications work and interact with other API or microservices environments.

• Participate in Scrum meetings and ensure accurate and timely status updates to application team.

 

• 3-5 years of experience in Data Engineering (SQL & Python)

• Strong Data Validity, Data Integrity & Data format testing experience. 

• The candidate should be able to validate the database code to some degree to make sure the business logic has been coded as per the requirements and stage data to test them. 

• Work in an Agile Software Delivery methodology highly focused on developing automated tests.

• Proven development ability with Microservices, Web & Cloud platforms. 

• Understanding of Web frontend & backend technologies, such as JavaScript, Java, APIs, Microservices.

• Proficient with agile tools like Jira, CI/CD, Bitbucket or similar.