Staff Data Platform Engineer

🕒 Setembro 14

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $220.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

👻 Score fantasma 1%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of PrizePicks

PrizePicks

201 - 500 funcionários

🎮 Jogos

⚽ Esportes

Gaming • Sports

PrizePicks é uma plataforma inovadora que oferece uma maneira dinâmica e interativa de participar de esportes diários de fantasia e esports. Os usuários podem fazer previsões sobre desempenhos de jogadores em vários esportes, incluindo NFL, NBA, MLB, CFB e muitos outros, com a oportunidade de ganhar até 1000 vezes o valor de sua inscrição. PrizePicks opera legalmente em 43 estados dos EUA, Washington D. C. e Canadá, fornecendo uma ampla gama de opções de apostas, incluindo Pick 'Em e Pick 'Em Arena, onde os usuários competem entre si por recompensas em dinheiro. A empresa enfatiza o engajamento dos usuários com recursos como promoções recorrentes e o jogo Streak, que é gratuito e permite que os participantes ganhem ao construir sequências de vitórias diárias. PrizePicks garante transações seguras e pagamentos rápidos, aprimorando a experiência e satisfação do usuário no mundo das apostas esportivas com dinheiro real.

Descrição

• Architect and build PrizePicks’ modern Data platform for batch and streaming use cases. • Build and maintain data catalog and data lineage capabilities. • Architect an end-to-end data platform, improving automation and scaling while enforcing robust data security architectures and controls. • Build platforms for deploying low-latency services that support streaming and near-real-time use cases. • Power real-time decisions across sports betting and daily fantasy ecosystems, including dynamic oddsmaking, risk analysis, and smart deposit defaults. • Champion best practices for model deployment, monitoring, and CI/CD for data pipeline deployment. • Enable complete observability for batch and streaming data platforms and ensure 99.99% availability. • Partner with Product, Backend Engineering, Data Engineering, and Data Science teams to operationalize complex data engineering and data science capabilities.

🎯 Requisitos

• 8+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable Data platforms in high-traffic production environments. • Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing, which will serve model inference in <100ms. • Proficient with Containerization, Docker, Kubernetes and cluster level management. • Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, Databases. • Experience with building REST APIs, package management and have built libraries. • Deep experience building a platform for managing the full Data lifecycle including setting up a data exploration environment. • Expert in coding with Python and Go. • Deep experience with Cloud services, preferred with GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents. • Excellent communication skills, stakeholder management and outstanding problem-solving skills. • Should have been a key contributor to projects through the entire development lifecycle from concept to release. • Must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable. • Experience implementing data platform infrastructure while enforcing best practices for deployment of a large scale data platform. • Designed and built scalable, fault-tolerant data storage, distributed processing systems, and data lakes at massive scale, with technologies such as Apache Spark, Flink, Trino, Presto, or Kafka. • Built internal tools for data pipeline authoring, orchestration, and AI-assisted analytics. • Established policies and tooling for data quality, compliance, lineage, and secure access control. • Enabled self-service for Data teams for pipeline development and deployment. • Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading or similar domain expertise.

🏖️ Benefícios

• Company-subsidized medical, dental, & vision plans • 401(k) plan with company match • Annual bonus • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) • Generous paid leave programs, including 16-week paid parental leave and disability benefits • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked • Company-wide in-person events and team outings • Lifestyle enhancement program • Company equipment provided (Windows & Mac options) • Annual performance reviews with opportunities for growth and career development

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