Data Platform Engineer — Real-Time, Scalable Data Platform

pofft Technology Inc.; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

PrizePicks is hiring a Data Platform Engineer in the United States to help build and scale our modern data platform. You will shape data engineering, data analytics, and ML capabilities to improve metrics like Time‑to‑Bet and Deposit Velocity, while integrating robust ML models across our platforms.

You will design batch and streaming data flows, implement low‑latency services, and drive observability, security, and reliability of data pipelines in a high‑traffic environment.

Qualifications

• 3+ years of experience in Platform Engineering in high‑traffic production environments.
• Proficient in streaming architectures (Kafka/Flink/PubSub) and low‑latency services.
• Deep experience with cloud services (GCP/AWS) and data lifecycle management.

Responsibilities

• Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases; maintain data catalog and data lineage; enforce data security controls.
• Real‑Time data platform at scale: Deploy low‑latency services to feed streaming and near real‑time use cases; enable real‑time decisions across the platform.
• Data Platform Ops: Deploy, monitor, CI/CD for data pipelines; ensure observability and 99.99% availability.

Skills

Platform eng

Python

Go

Streaming data

Cloud services

Tools

Kafka

Flink

Pub/Sub

Docker

Kubernetes

BigQuery

Cloud Functions

GKE

AWS

Spark

Job description

PrizePicks is hiring a Data Platform Engineer in the United States to help build and scale our modern data platform. You will shape data engineering, data analytics, and ML capabilities to improve metrics like Time‑to‑Bet and Deposit Velocity, while integrating robust ML models across our platforms.

You will design batch and streaming data flows, implement low‑latency services, and drive observability, security, and reliability of data pipelines in a high‑traffic environment.