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4 часа назад

Senior Data Engineer (AI)

Формат работы
hybrid
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

Текст:
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TL;DR
Senior Data Engineer (AI/data platform): Design, build, and optimize data platforms, pipelines, models, semantic layers, and infrastructure powering analytics, reporting, and data-driven decision making with an accent on distributed processing, performance, reliability, and scalable architecture. Focus on building AI-ready data products, optimizing high-volume pipelines and warehouses, implementing observability, and solving complex data issues through root-cause analysis.

Location: Hybrid in Atlanta, Georgia; applicants must be located in the United States and authorized to work for any U.S. employer.

Company

hirify.global provides healthcare workforce management software used by healthcare organizations to make strategic workforce decisions.

What you will do

  • Architect, develop, test, and maintain ELT/ETL pipelines and data workflows for high-volume analytics.
  • Design data models and semantic layers for analytical self-service, reporting, dashboards, and visualizations.
  • Optimize data pipelines and warehouse performance for speed, cost, reliability, and scalability.
  • Implement data observability, governance, documentation, version control, CI/CD, and Infrastructure as Code practices.
  • Collaborate with engineers, DBAs, managers, and business stakeholders while providing technical guidance and mentorship.
  • Design AI-ready data products and support incident response and root-cause analysis for complex data issues.

Requirements

  • 5–7+ years of experience in data engineering, analytics engineering, or a related field.
  • Bachelor’s degree in computing, data engineering, or a related discipline.
  • Expertise in distributed data processing, data modeling, and performance tuning.
  • Strong proficiency in SQL and Python.
  • Experience with modern data stack components, including cloud platforms, data warehouses, orchestration, transformation, observability, BI, and DevOps tools.
  • Must be located in the United States, authorized to work for any U.S. employer, and not require employment visa sponsorship.

Nice to have

  • Experience preparing datasets and data structures for AI/ML use cases, including NLP-driven analytics.
  • Experience with Glue or Dataflow.

Culture & Benefits

  • Hybrid work environment with in-office perks and commuter benefits.
  • Company-paid medical, dental, and vision insurance options.
  • Generous paid time off and paid parental leave.
  • 401(k) with company match.
  • Annual Costco membership and cell phone stipend.
  • Focus on diversity, inclusion, equity, collaboration, and continuous improvement.

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