> Markdown version of [/jobs/ext/3622488-sports-data-lead-alternative-data](https://www.wearedevelopers.com/jobs/ext/3622488-sports-data-lead-alternative-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sports Data Lead - Alternative Data - **Company:** UNLOK!, INC. - **Location:** Berkeley, IL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Normalization, Data Structures, Python (Programming Language), PostgreSQL, Standard Sql, Apache Kafka, Vertica, Entity Resolution, Stream Processing, Data Pipelines - **Published:** October 8, 2026 - **Apply:** https://www.disabledperson.com/jobs/75856232-sports-data-lead-alternative-data ## About the Role * 4+ years working professionally with sports data * Deep understanding of sports events, schedules, results, and data structures * Experience with Sportradar, Stats Perform/Opta, Genius Sports, SportsDataIO, TXODDS, or similar * Strong SQL + practical Python * Experience with APIs, data normalization, and entity resolution * Exceptional attention to detail and data-quality mindset Bonus * Experience with real-time data pipelines and streaming systems * Experience in betting, financial, or prediction markets * Familiarity with ClickHouse, PostgreSQL, Kafka, or AWS * PhD in a relevant field is a plus Not a sports betting, handicapping, or trading-strategy role. If you love sports data and want to build something from scratch, we'd love to hear from you. ## Description * Source and evaluate sports data feeds, APIs, and providers * Build canonical datasets across teams, players, leagues, games, and events * Map and reconcile data across multiple sources * Own data quality, accuracy, latency, and historical integrity * Define rules for postponements, cancellations, corrections, and other edge cases * Work closely with engineers to build scalable ingestion and data pipelines * Expand coverage across major global sports