Data Platform Engineer

🕒 August 4

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 39%

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Logo of PrizePicks

PrizePicks

201 - 500 employees

🎮 Gaming

⚽ Sports

Gaming • Sports

PrizePicks is an innovative platform that offers a dynamic and interactive way to engage in daily fantasy sports and esports. Users can make predictions on player performances across various sports, including NFL, NBA, MLB, CFB, and more, with the opportunity to win up to 1000x their entry fee. PrizePicks operates legally in 43 U. S. states, Washington D. C. , and Canada, providing a wide range of betting options, including Pick 'Em and Pick 'Em Arena, where users compete against each other for cash rewards. The company emphasizes user engagement with features such as recurring promos and the Streak game, which is free to play and allows participants to earn by building daily win streaks. PrizePicks ensures secure transactions and fast payouts, enhancing user experience and satisfaction in the sphere of real money sports betting.

📋 Description

• Design and build the Data platform for batch and streaming use cases. • Build and maintain data catalog and data lineage capabilities. • Design and enforce robust data security architectures and controls. • Build low-latency services for streaming and near-real-time use cases. • Power real-time decisions across dynamic oddsmaking, risk analysis, and smart deposit defaults. • Establish best practices for model deployment, monitoring, and CI/CD for data pipeline deployment. • Enable complete observability for batch and streaming data platforms. • Ensure 99.99% platform availability. • Contribute to building and productionizing PrizePicks’ data engineering, analytics, and machine learning capabilities.

🎯 Requirements

• 3+ 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 for stream ingestion and processing, serving model inference in <100ms. • Proficient with containerization, Docker, Kubernetes, and cluster-level management. • Deep experience building platforms for managing the full Data lifecycle, including setting up a data exploration environment. • Expert coding skills in Python and Go. • Deep experience with cloud services, preferably GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents. • Excellent communication, stakeholder management, and problem-solving skills. • Extensive experience with big data technologies including Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, and databases. • Experience building REST APIs, package management, and libraries. • 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.

🏖️ Benefits

• 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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