Назад
Company hidden
8 часов назад

Staff Data Platform Engineer (Data Platform)

200 000 - 220 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Staff Data Platform Engineer (Data Platform): Architecting and building scalable batch and streaming data platforms for sports betting and daily fantasy ecosystems with an accent on low-latency ML inference, data lifecycle management, and platform reliability. Focus on deploying real-time services under 100ms, enforcing data security and observability, and enabling CI/CD, lineage, and self-service capabilities across data teams.

Location: Remote within the United States; Atlanta, Georgia preferred. Applicants must be authorized to work for any employer in the U.S.; visa sponsorship is not available.

Salary: $200,000–$220,000 per year

Company

hirify.global operates a Daily Fantasy Sports platform covering professional sports and esports.

What you will do

  • Architect and build scalable batch and streaming data platform capabilities, including catalog, lineage, automation, and security controls.
  • Develop low-latency services for streaming and near-real-time use cases such as dynamic oddsmaking, risk analysis, and deposit defaults.
  • Establish model deployment, monitoring, CI/CD, observability, and operational practices for data pipelines and platforms.
  • Build data exploration, lifecycle management, and self-service capabilities for data teams.
  • Partner with Product, Backend Engineering, Data Engineering, and Data Science to productionize complex data and machine learning capabilities.

Requirements

  • 8+ years of experience in platform engineering and a record of operating scalable data platforms in high-traffic production environments.
  • Expertise in Python and Go, cloud services, containerization, Docker, Kubernetes, and cluster-level management.
  • Experience with streaming architectures and low-latency model-inference services targeting under 100 ms.
  • Experience with technologies including Spark, Flink, Kafka or Kinesis, Airflow or Argo, Iceberg, Lakehouse, Redis, Elasticsearch, databases, and REST APIs.
  • Experience managing the full data lifecycle and contributing throughout development from concept to release.
  • Strong communication, stakeholder management, and problem-solving skills.

Nice to have

  • Experience designing fault-tolerant storage, distributed processing systems, and large-scale data lakes.
  • Experience building data pipeline authoring tools, orchestration systems, and AI-assisted analytics.
  • Experience with data quality, compliance, lineage, secure access control, and self-service data platforms.
  • Background in Daily Fantasy Sports, oddsmaking, high-frequency trading, or a similar domain.

Culture & Benefits

  • Remote work flexibility with modern work schedules focused on outcomes.
  • Company-subsidized medical, dental, and vision plans.
  • 401(k) plan with company match and annual bonus.
  • Flexible PTO, paid parental leave, disability benefits, and company-wide events.
  • Company-provided Windows or Mac equipment and career development opportunities.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →