Senior Software Engineer, Data

🕒 Maio 11

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PlayOn! Sports

SiteLinkedInTodas as Vagas

201 - 500 funcionários

📱 Mídia

⚽ Esportes

📚 Educação

💰 $26.000.000 Series D em 2013-07

Media • Sports • Education

A PlayOn! Sports é uma empresa especializada em fornecer soluções digitais para esportes e atividades de ensino médio. Eles oferecem uma plataforma abrangente que integra gestão atlética, ingressos digitais, transmissão e streaming, concessões, patrocínios, arrecadação de fundos e sites atléticos. Suas marcas incluem GoFan, a NFHS Network e rSchoolToday, que coletivamente atendem milhares de escolas com mais de 500. 000 eventos anualmente. A PlayOn! Sports visa melhorar o engajamento comunitário e facilitar as tarefas administrativas para as escolas, oferecendo ferramentas como opções de pagamento digital, transmissão de eventos e gestão de atividades. Eles desempenham um papel significativo ao conectar fãs e comunidades através do engajamento digital em eventos escolares locais.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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