Staff Data Platform Engineer

PrizePicks • Atlanta, GA

5d • Remote

About The Position

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? Staff Data Platform Engineer As a Staff Data Platform Engineer, you will contribute to architecting and building the modern Data platform at Prizepicks to scale and productionize our core data engineering, data analytics and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

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. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Nice To Haves

• 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, worked with technologies - Apache Spark, Flink, Trino, Presto, or Kafka.
• Built internal tools for data pipeline authoring, orchestration, and AI-assisted analytics to boost developer productivity.
• 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.

Responsibilities

• Design and build the Data platform for Batch and Streaming use cases.
• Build and maintain a platform with cutting edge technologies and enable data users by building data catalog and data lineage capabilities.
• Architecting an end to end data platform, making improvements for automation & scaling, and enforcing robust data security architectures and controls.
• Build platform for deploying low-latency services to pipe data for streaming or near real time use cases.
• Power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to 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 platform and ensure the availability of 99.99%.
• Partner with Product, Backend Engineering, Data Engineering and Data Science teams to operationalize complex Data engineering and Data science capabilities—balancing platform stability, architectural standards, and rapid iteration.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed