Senior Software Engineer, Data

🕒 May 11

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PlayOn! Sports

WebsiteLinkedInAll Job Openings

201 - 500 employees

📱 Media

⚽ Sports

📚 Education

💰 $26M Series D on 2013-07

Media • Sports • Education

PlayOn! Sports is a company specializing in providing digital solutions for high school athletics and activities. They offer a comprehensive platform that integrates athletic management, digital ticketing, broadcasting and streaming, concessions, sponsorships, fundraisers, and athletic websites. Their brands include GoFan, the NFHS Network, and rSchoolToday, which collectively serve thousands of schools with over 500,000 events annually. PlayOn! Sports aims to enhance community engagement and ease administrative tasks for schools by offering tools like digital payment options, event streaming, and activity management. They play a significant role in connecting fans and communities through digital engagement with local school events.

📋 Description

• Design, build, and operate data services and APIs used by application teams. • Partner with Data Platform engineers to translate event streams and pipelines into application-ready interfaces. • Own technical design for major features, including API shape, data contracts, versioning, and backward compatibility. • Build in Python and SQL across event-driven architectures. • Collaborate with application teams to define integration patterns and service expectations. • Improve observability, correctness, and operational maturity of data products. • Optimize platform performance and cloud cost efficiency. • Collaborate with the Data Platform team on pipeline contracts and data availability.

🎯 Requirements

• 5+ years of experience building production software systems, ideally including data services or platform APIs. • Strong Python skills — production-grade, testable, maintainable code. • Strong SQL skills and comfort working with large analytical datasets. • Experience with event-driven architectures and streaming systems (Kafka, Flink, or equivalent). • Experience designing and operating REST APIs consumed by application teams. • Comfort taking technical ownership — driving design decisions, not just implementing them. • Familiarity with AI-augmented development tools (Claude, Codex) as part of a modern engineering workflow. • Preferred Experience • Experience with Snowflake or similar cloud data warehouses. • Background in data modeling for analytical or operational use cases. • ML engineering basics — feature pipelines, model-adjacent data services.

🏖️ Benefits

• Multiple medical insurance plans to choose from • Dental, vision life and disability insurance • Employee Emergency Fund • Company equity (stock options) • Open PTO policy • 401K plan with company match • Hybrid/flexible work environment