# Data Platform Engineer

**Company:** [PrizePicks](https://hotfix.jobs/companies/prizepicks)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $145k – $175k/yr
**Experience:** 3+ years
**Skills:** Python, Go, Kafka, apache flink, Pub/Sub, Docker, Kubernetes, BigQuery, GCP, cloud functions, google kubernetes engine, Spark, Airflow, Redis, Elasticsearch
**Posted:** 2026-08-04

> Build and operate scalable batch and streaming data platforms that support low-latency services, analytics, and machine learning capabilities. The role requires 3+ years of platform engineering experience, strong Python and Go skills, cloud expertise, and proficiency with Kubernetes and streaming technologies.

## Job Description

## Responsibilities
- Design and build a scalable data platform for batch and streaming use cases.
- Build and maintain data catalog and data lineage capabilities.
- Design and enforce robust data security architectures and controls.
- Build platforms for deploying low-latency services supporting streaming and near-real-time use cases.
- Support real-time decisions including dynamic oddsmaking, risk analysis, and deposit defaults.
- Establish best practices for model deployment, monitoring, and CI/CD for data pipeline deployment.
- Enable complete observability for batch and streaming data platforms and maintain 99.99% availability.

## Requirements
- 3+ years of experience in platform engineering, including deploying and maintaining scalable data platforms in high-traffic production environments.
- Proficiency with streaming architectures such as Kafka, Flink, and Pub/Sub, and with building low-latency services for stream ingestion and processing.
- Proficiency with containerization, Docker, Kubernetes, and cluster-level management.
- Deep experience managing the full data lifecycle, including data exploration environments.
- Expertise in Python and Go.
- Deep experience with cloud services, preferably Google Cloud services such as BigQuery, Cloud Functions, and Google Kubernetes Engine, or AWS equivalents.
- Strong communication, stakeholder-management, and problem-solving skills.
- Experience with big data and data-platform technologies including Spark, Flink, Kafka or Kinesis, Argo, Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse architectures, Redis, Elasticsearch, and databases.
- Experience building REST APIs, managing packages, and developing libraries.
- Experience contributing to projects through the complete development lifecycle, from concept through release.

## Nice-to-Haves
- Experience implementing infrastructure and enforcing deployment best practices for large-scale data platforms.
- Background in daily fantasy sports, oddsmaking, or high-frequency trading.
- Experience bridging batch historical data with real-time event streams.
- Experience enabling self-service pipeline development and deployment for data teams.
- Experience enabling AI agents for repetitive tasks and AI-assisted coding.

## Compensation and Benefits
- Typical salary range: **$145,000–$175,000**.
- Company-subsidized medical, dental, and vision plans.
- 401(k) plan with company match.
- Annual bonus.
- Flexible paid time off.
- Paid leave programs, including 16-week paid parental leave and disability benefits.
- Workplace flexibility and modern work schedules.
- Company-wide in-person events and team outings.
- Lifestyle enhancement program.
- Company equipment with Windows and Mac options.
- Annual performance reviews with career-development opportunities.

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**Apply:** https://hotfix.jobs/jobs/d5e0c17c-3fc0-4f52-844b-8c9f1d601914
**Canonical:** https://hotfix.jobs/jobs/d5e0c17c-3fc0-4f52-844b-8c9f1d601914