Data Platform Engineer — Real-Time, Low-Latency Pipelines (Remote)

PrizePicks; United States; Remote; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Company-subsidized health plans

401(k) with company match

Annual bonus

Flexible PTO

Parental leave

Zusammenfassung

PrizePicks is pursuing a Data Platform Engineer to scale and productionize our core data engineering, data analytics, and ML capabilities across DFS platforms. Your work will influence Time-to-Bet, Deposit Velocity and Platform Integrity by integrating low-latency ML models.

You will design a scalable batch/streaming data platform, deploy real-time services with sub-100ms latency, and own CI/CD, monitoring, and observability to ensure 99.99% uptime.

Qualifikationen

• 3+ years of platform engineering experience in high-traffic production environments.
• Proficient with streaming architectures (Kafka/Flink) and building low-latency services for model inference.
• Deep experience with Cloud services and data tooling (GCP preferred, AWS acceptable).
• Experience building data lifecycle platforms and data exploration environments.
• Excellent communication and stakeholder management skills.

Aufgaben

• Design and build the Data platform for batch and streaming use cases with a robust data catalog and data lineage.
• Build platform for deploying low-latency streaming services to support real-time decisions.
• Champion CI/CD, monitoring, and observability for data pipelines and ensure 99.99% availability.

Kenntnisse

3+ years Platform Engineering

Communication skills

Stakeholder management

Problem-solving

Tools

Docker

Kubernetes

Kafka

Flink

Spark

Kinesis

OpenMetadata

Iceberg

Lakehouse

Redis

Elasticsearch

Jobbeschreibung

PrizePicks is pursuing a Data Platform Engineer to scale and productionize our core data engineering, data analytics, and ML capabilities across DFS platforms. Your work will influence Time-to-Bet, Deposit Velocity and Platform Integrity by integrating low-latency ML models.

You will design a scalable batch/streaming data platform, deploy real-time services with sub-100ms latency, and own CI/CD, monitoring, and observability to ensure 99.99% uptime.