Назад
Company hidden
2 дня назад

Data Engineering Manager

149 000 - 186 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Australia +4 еще
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
Data Engineering Manager (Data Platforms): Building high-quality, scalable data pipelines, platforms, and data products with an accent on technical leadership, reliability, and cross-functional delivery. Focus on mentoring data engineers, reviewing architecture and code, resolving complex engineering challenges, and improving monitoring, data quality, governance, and compliance.

Location: Hybrid in Atlanta, Georgia, United States

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

Company

hirify.global is a mobile gaming and sports betting company operating sportsbook, iGaming, horse racing, daily fantasy sports, 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 hands-on when needed.
  • Partner with product managers, data scientists, analysts, and business stakeholders to translate requirements into delivery plans.
  • Promote monitoring, alerting, incident response, data quality, governance, compliance, and continuous workflow improvement.

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 technical leadership 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

  • Medical, vision, dental, life, and disability insurance.
  • 401(k) matching of up to 5%, paid personal time off, and paid sick leave.
  • 14 paid company holidays, commuter benefits, pet insurance, and fitness and mental health programs.
  • Fertility and family planning support, annual bonuses, and long-term incentive opportunities based on performance.
  • Inclusive workplace focused on collaboration, respect, and equal employment opportunity.

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 →