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11 часов назад

Data Engineering Manager

Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
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 (AWS/Data Platforms): Leading a team responsible for building and operating data lake pipelines, platform services, and analytics data flows with an accent on cloud infrastructure, data reliability, and cross-functional roadmap planning. Focus on managing production workloads, designing streaming and API-based pipelines, reviewing Python and SQL solutions, and improving monitoring and incident response.

Location: McCarran, Nevada, United States

Company

Develops battery materials and energy storage solutions by recovering, reusing, and recycling batteries to localize the U.S. battery supply chain.

What you will do

  • Lead and grow a team of data engineers and analysts through hiring, mentoring, career development, and performance management.
  • Own the long-term roadmap and prioritization for the data platform, balancing infrastructure investments, pipeline development, and analytics requests.
  • Partner with business units to identify needs, scope problems, and translate requirements into technical deliverables.
  • Oversee data pipelines across streaming datasets, APIs, and multiple data stores, ensuring reliability and data quality.
  • Operationalize production workloads through on-call expectations, monitoring, triage, and incident response.
  • Stay technically hands-on by reviewing code, prototyping solutions, and contributing to pipeline and infrastructure work.

Requirements

  • Bachelor’s degree in Computer Science or a similar technical field, or equivalent practical experience.
  • At least 5 years of hands-on experience building data solutions in modern cloud environments, including at least 2 years managing technical teams.
  • Strong Python and SQL skills for code review, design evaluation, and solving complex technical problems.
  • Experience with data engineering stacks including relational and non-relational data stores, ELT orchestration, transformation tooling, and data observability or catalog tooling.
  • Experience operating AWS data platforms using infrastructure-as-code methodologies.
  • Ability to manage production data workloads at scale, including monitoring, issue diagnosis, and incident response.

Nice to have

  • Trino experience.
  • AWS CDK experience.
  • Familiarity with containerized workloads in Kubernetes.
  • Passion for sustainability.

Culture & Benefits

  • Full-time employment.
  • Occasional night or weekend work may be required when production systems are down and need immediate attention.
  • Physical work is primarily desk-based, with occasional standing, walking, bending, reaching, and handling objects weighing up to 10 pounds.
  • Compensation is commensurate with experience.

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