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9 часов назад

Senior Data Engineer (Streaming)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (Streaming): Designing and operating scalable data pipelines and models for a global streaming platform with an accent on cloud data platforms, distributed processing, and data quality. Focus on optimizing orchestration and storage, supporting analytics and machine learning workflows, and making architectural decisions across product and engineering teams.

Location: Miami, Florida office; must be authorized to work in the United States

Company

hirify.global is a Spanish-language media company operating digital, streaming, social, audio, linear television, and live-events platforms, including ViX.

What you will do

  • Design, develop, and maintain scalable data pipelines with Airflow, Python, SQL, and dbt.
  • Build and optimize data models and workflows supporting analytics, reporting, machine learning, and product initiatives.
  • Ensure data quality, integrity, security, availability, governance, and observability across the data ecosystem.
  • Partner with product managers, data scientists, analysts, and engineering teams to translate requirements into technical solutions.
  • Optimize data storage, processing, and orchestration for performance, scalability, and cost efficiency.
  • Mentor junior data engineers, contribute to architecture and engineering practices, and participate in technical interviews.

Requirements

  • Bachelor’s or master’s degree in computer science, engineering, information systems, or a related technical field.
  • 5+ years of experience in data engineering, data warehousing, or big data environments.
  • Advanced Python and SQL skills with experience building production-grade data pipelines.
  • Experience with cloud data platforms, preferably Google Cloud Platform; AWS is also considered.
  • Experience with Airflow, dbt, infrastructure as code tools such as Pulumi or Terraform, and distributed processing with Spark.
  • United States work authorization and willingness to work from the Miami, Florida office are required; employment and education verification is required.

Nice to have

  • Experience supporting machine learning and data science workflows.
  • Familiarity with data observability, data quality frameworks, and CI/CD practices.
  • Experience in subscription-based, media, streaming, or digital product organizations.

Culture & Benefits

  • Collaborative, fast-paced environment focused on continuous improvement and knowledge sharing.
  • PTO, tuition reimbursement, wellness programs, and employee support programs.
  • 401(k), life insurance, and other insurance plans.
  • Medical, dental, and vision coverage options.

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