Staff Data Platform Engineer

🕒 September 14

🇺🇸 United States – Remote

💵 $200k - $220k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

PrizePicks

WebsiteLinkedInAll Job Openings

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

• 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.

🎯 Requirements

• 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.

🏖️ 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