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2 дня назад

Data Engineering Manager (iGaming)

149 000 - 186 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK/US/Australia +4 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineering Manager (iGaming): Leading a data engineering team building scalable data pipelines, platforms, and data products for analytics, data science, and operational needs with an accent on technical leadership, data reliability, and cross-functional delivery. Focus on mentoring engineers, reviewing architecture and code, improving monitoring and incident response, and maintaining data quality, governance, and compliance.

Location: New York City; hybrid role

Salary: $149,000–$186,000 USD annually

Company

hirify.global Group is a mobile gaming and sports betting company operating sportsbook, iGaming, horse racing, daily fantasy sports, television, and streaming products across the United States and Canada.

What you will do

  • Lead, coach, and mentor a team of data engineers while supporting career development and performance feedback.
  • Guide the design and implementation of scalable data pipelines, platforms, and data products.
  • Review architecture and code, provide technical direction, and help resolve complex engineering challenges.
  • Partner with product managers, data scientists, analysts, and business stakeholders to prioritize work and deliver projects.
  • Improve operational stability through monitoring, alerting, incident response, and development workflow improvements.
  • Promote data quality, governance, security, and compliance standards.

Requirements

  • 6+ years of experience in data engineering or software engineering, including 1–2 years in team leadership or mentorship.
  • Experience building and maintaining data pipelines and platforms with tools such as Spark, dbt, Airflow, Kafka, or Databricks.
  • Proficiency in SQL and at least one programming language, such as Python, Scala, or Java.
  • Experience with cloud data platforms including AWS, GCP, or Azure.
  • Strong communication and collaboration skills across technical and non-technical teams.

Nice to have

  • People management or tech lead experience in a data engineering or analytics team.
  • Familiarity with machine learning workflows, data observability, and streaming architectures.
  • Experience in a product-driven, customer-focused organization.
  • Understanding of data privacy, security, and compliance frameworks.

Culture & Benefits

  • Health plans with fertility, family planning, mental health, and fitness support.
  • Paid time off, sick leave, and 14 paid company holidays.
  • Annual bonus and long-term incentive opportunities based on performance.
  • 401(k) matching of up to 5%, commuter benefits, and pet insurance.
  • Medical, vision, dental, life, and disability insurance may be available.
  • Inclusive workplace with reasonable accommodations for qualified individuals with disabilities.

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