Data Platform Engineer
Core
Build and maintain a scalable, low-latency data platform for batch and streaming use cases to support daily fantasy sports and sports betting ecosystems.
Role type
Senior Data Platform Engineer
Builds
Data platform, data catalog, data lineage, real-time data pipelines, and ML model deployment infrastructure
Domain
Sports betting / Daily Fantasy Sports / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Streaming architectures (Kafka, Flink, PubSub), Containerization (Docker, Kubernetes), Python, Go, Cloud services (GCP/AWS), Big data technologies (Spark, Iceberg, Lakehouse), REST APIs, CI/CD
Preferred skills
Daily Fantasy Sports (DFS) domain knowledge, high-frequency trading experience, AI agent implementation
Technologies
Kafka, Flink, PubSub, Docker, Kubernetes, Python, Go, GCP (BigQuery, Cloud Functions, GKE), AWS, Spark, Iceberg, Redis, Elasticsearch, Argo, Airflow
Responsibilities
Design and build scalable data platforms for batch and streaming; deploy low-latency services for real-time decisions; champion best practices for model deployment, monitoring, and CI/CD
Seniority
Senior, hands-on IC