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Data Platform Engineer (Daily Fantasy Sports)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Platform Engineer (Daily Fantasy Sports): Building scalable batch and streaming data platforms for sports betting and daily fantasy applications with an accent on low-latency model inference, data lifecycle management, and platform security. Focus on designing real-time services, enforcing observability and CI/CD, and bridging historical batch data with live event streams.

Location: Remote within the United States; preference for candidates based in Atlanta

Compensation package with annual bonus; exact salary not specified

Company

hirify.global operates a Daily Fantasy Sports platform covering major leagues and esports competitions.

What you will do

  • Design and build scalable data platforms for batch and streaming use cases.
  • Develop data catalog, lineage, security, and governance capabilities.
  • Build low-latency services for streaming and near-real-time decisions, including dynamic oddsmaking, risk analysis, and deposit defaults.
  • Establish model deployment, monitoring, CI/CD, and observability practices for data platforms.
  • Maintain platform availability at 99.99% and support the full development lifecycle from concept to release.

Requirements

  • 3+ years of platform engineering experience deploying and maintaining scalable data platforms in high-traffic production environments.
  • Experience with streaming architectures such as Kafka, Flink, or Pub/Sub and low-latency services supporting model inference under 100 ms.
  • Proficiency with containerization, Docker, Kubernetes, and cluster-level management.
  • Expertise in Python and Go, plus cloud services such as GCP BigQuery, Cloud Functions, and GKE or AWS equivalents.
  • Experience with big data and platform technologies including Spark, Kafka, Flink, Airflow, Iceberg, Lakehouse, Redis, Elasticsearch, and databases.
  • Must be authorized to work for any employer in the United States.

Nice to have

  • Experience with Daily Fantasy Sports, oddsmaking, or high-frequency trading.
  • Experience bridging batch historical data with real-time event streams and enabling self-service data pipelines.
  • Experience implementing infrastructure for large-scale data platforms and using AI agents or AI coding tools.

Culture & Benefits

  • Inclusive culture with a diverse team of more than 550 employees.
  • Company-subsidized medical, dental, and vision plans.
  • 401(k) plan with company match, paid leave programs, disability benefits, and 16-week paid parental leave.
  • Flexible PTO, workplace flexibility, and modern work schedules.
  • Company equipment, in-person events, team outings, and career development opportunities.

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