[Remote] Staff Data Platform Engineer

Note: The job is a remote job and is open to candidates in USA. PrizePicks is a sports company and daily fantasy sports platform operating across major sports leagues and esports. The Staff Data Platform Engineer will architect, build, and scale modern batch and streaming data platforms that support data engineering, analytics, and machine learning capabilities. The role also focuses on real-time services, platform operations, observability, security, and cross-functional collaboration.

Responsibilities

• Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a platform with cutting edge technologies and enable data users by building data catalog and data lineage capabilities. You will be 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. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults
• You will champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment. You will 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

Skills

• 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
• 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
• You 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
• 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

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

Company Overview