Staff Data Platform Engineer

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.

What You’ll Do

• Build Scalable Data Platform: 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. 
• Real-Time data platform at Scale: 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.
• Data Platform Ops: 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%
• Cross-Functional Collaboration: 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.

What You Have

• 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.

What Makes You Stand Out

• 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.

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 

Only include the below on remote job postings

Working at PrizePicks:

The typical salary range for this position is $200,000 to $220,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your 

recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. 

 

Date Posted: 09/11/2026

First Extension: 10/11/2026

Second Extension:11/11/2026