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2 дня назад

Data Engineering Manager (DataOps)

173 500 - 213 100$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Data Engineering Manager (DataOps): Leading the DataOps function to drive operational excellence and platform reliability for a high-scale data ecosystem with an accent on platform governance, incident management, and offshore team coordination. Focus on scaling data and AI initiatives by optimizing ETL/ELT processes and ensuring robust data infrastructure.

Location: Must be based in New York, New York (Hybrid)

Salary: $173,500–$213,100 USD

Company

hirify.global is a global fitness technology company providing expert instruction and world-class content through innovative hardware and software.

What you will do

  • Lead the DataOps function to drive operational maturity, platform reliability, and process improvements.
  • Manage and mentor offshore engineering resources, providing technical guidance and delivery oversight.
  • Partner with business stakeholders to gather requirements and prioritize data solution delivery.
  • Own intake, prioritization, and execution processes for DataOps requests and operational support.
  • Serve as operational owner for key platforms including Airflow, Airbyte, and Looker.
  • Coordinate incident management, root cause analysis, and operational readiness efforts.

Requirements

  • Must be based in New York, New York
  • 5+ years of experience in data engineering, analytics engineering, or software engineering.
  • 2+ years of experience leading technical teams or coordinating offshore/vendor resources.
  • Strong understanding of modern data engineering architectures and ETL/ELT patterns.
  • Hands-on experience with data orchestration tools like Airflow, Airbyte, or DBT.
  • Strong SQL and data analysis skills, specifically with BigQuery.

Nice to have

  • Experience administering compliance auditing for Looker or BigQuery.
  • Experience building and scaling DataOps or platform operations functions.
  • Experience supporting AI, machine learning, or self-service analytics initiatives.
  • Experience working in Agile/Scrum environments.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • Generous paid time off policy and 18 weeks of paid parental leave.
  • 401k, tuition reimbursement, and student loan paydown plans.
  • Free access to hirify.global Digital App and product discounts.
  • Commuter benefits and Citi Bike discount.
  • Access to mental health services and pet insurance.

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