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9 дней назад

Data Engineering Manager (Regulatory Compliance)

165 000 - 200 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US/Canada
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 Engineering Manager (Regulatory Compliance) (Data Engineering/Cloud): Building scalable, reliable data pipelines, infrastructure, and tooling for analytics and regulatory compliance with an accent on team leadership, data architecture, and audit-ready delivery. Focus on managing cross-functional data projects, communicating with regulators, and designing systems that meet performance, scalability, reliability, and governance requirements.

Location: Remote, United States

Salary: $165,000–$200,000 USD per year

Company

hirify.global develops online gaming, sports betting, sports media, and entertainment platforms as part of PENN Entertainment.

What you will do

  • Manage the day-to-day activities of the data engineering team, including goal setting, mentorship, coaching, performance management, and feedback.
  • Communicate with state and provincial regulatory professionals and establish clear expectations.
  • Lead data-related projects from inception through delivery across analytics, finance, compliance, product, and engineering stakeholders.
  • Build and maintain data pipelines, infrastructure, workflow tooling, and data engineering architecture.
  • Drive performance, scalability, reliability, and data quality for analytics initiatives.
  • Manage high-responsibility workstreams with strict deadlines and audit requirements.

Requirements

  • At least 3 years of experience in data-oriented leadership or management and at least 5 years of software or data development experience.
  • Experience leading teams of 3 or more engineers.
  • Strong foundations in computer science, distributed systems, software and systems design, data architecture, and governance.
  • Experience with data pipeline and workflow tools such as Airflow, dbt, and AWS Lambda.
  • Strong knowledge of relational databases, SQL, Python, Docker, and cloud platforms such as GCP or AWS.
  • Strong communication, presentation, project management, prioritization, delegation, and stakeholder collaboration skills.

Nice to have

  • Experience in a regulated industry.
  • Web experience with React, Django, or Flask.
  • Knowledge of machine learning concepts, Kubernetes, Terraform, GCP, or AWS.

Culture & Benefits

  • Competitive compensation package and benefits for eligible employees.
  • Education and conference reimbursements.
  • Career progression opportunities and opportunities to mentor others.
  • Fun, relaxed work environment.

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