Senior Sports Data Integration Engineer for Real-Time Sports Tracker Widget

We are building a real-time sports tracker widget similar in concept to STATSCORE-style live match widgets. We already have a source-code-based React/TypeScript iframe-ready tracker widget supporting 5 sports: - soccer - basketball - baseball - volleyball - ice hockey Now we need a senior engineer to connect real sports data providers to the widget on a per-match basis. Data sources may include: - Goalserve live scores / stats / in-play feeds - OpticOdds odds / fixtures / results / SSE odds stream - Additional scout/event data providers if required The goal is to build a backend data integration layer that normalizes multiple providers into one internal match/event/state model, then feeds the existing widget in real time. Key responsibilities: - Review current React/TypeScript widget source code - Design a normalized sports event/state schema - Build provider adapters for Goalserve and OpticOdds - Map provider match IDs, teams, leagues, fixtures, scores, stats, incidents, and player data - Support real-time updates via polling, webhooks, SSE, or WebSocket where applicable - Build a widget delivery API such as: /widget?matchId=xxx&sport=soccer&lang=en - Feed the widget using the existing postMessage/config/event system or an improved internal bridge - Handle missing coordinates gracefully - Implement replay/testing tools using recorded provider events - Add monitoring/logging for provider errors, stale feeds, latency, and mismatched data - Provide documentation for adding future sports and providers Required skills: - Strong TypeScript / Node.js backend experience - React / TypeScript frontend experience - Experience with real-time systems: SSE, WebSocket, polling, queues - Experience integrating third-party APIs - XML and JSON parsing - Redis, PostgreSQL, Docker - Sports data, odds, live score, or betting platform experience - Ability to design clean data normalization layers Nice to have: - Experience with Goalserve, OpticOdds, Sportradar, Stats Perform, Genius Sports, or similar sports data providers - Experience building embeddable widgets or iframe-based SaaS widgets - Experience with sportsbook, live score, trading, or match tracker products Important: Please do not apply if you are only a frontend UI developer. This project requires backend sports data integration, real-time data processing, and widget delivery experience. First milestone: 1. Review current widget source code and provider documents 2. Propose normalized event/state schema 3. Build a small proof of concept for one sport and one match 4. Demonstrate live or replayed data feeding into the widget 5. Document provider gaps, especially missing coordinates/location data