Data Platform Engineer

PrizePicks

Data Platform Engineer at PrizePicks contributing to building and scaling data platforms for sports analytics and machine learning. Involves working with modern technologies for real-time decisions and data security.

Posted 4/24/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSBigQueryCloudDockerElasticSearchGoGoogle Cloud PlatformKafkaKubernetesPythonRedisSpark

About the role

Key responsibilities & impact

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 contributing to design and enforce 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%

Requirements

What you’ll need

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 to serve stream ingestion and processing, which will serve model inference in <100ms.
Proficient with Containerization, Docker, Kubernetes and cluster-level management.
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.
Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, and Databases. Experience with building REST APIs, package management and have built libraries.
Should have been a key contributor to projects through the entire development lifecycle from concept to release.

Benefits

Comp & perks

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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Hard Skills & Tools

Platform EngineeringData platform designStreaming architecturesLow-latency servicesContainerizationPythonGoBig data technologiesREST APIsCI/CD

Soft Skills

Best practices championObservabilityCollaborationProblem-solvingCommunication