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6 часов назад

Lead Data Engineer (AI)

103 330 - 128 656$
Формат работы
hybrid
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
Lead Data Engineer (AI) (Python/SQL/AWS): Modernizing enterprise data workflows and transforming legacy ETL ecosystems into scalable data platforms with an accent on Informatica-to-Python migrations, Java Spring Batch, and cloud architecture. Focus on defining migration strategies, leading architecture reviews, and implementing Generative AI and Copilot-powered engineering improvements.

Location: Smithfield, Rhode Island, United States; day-one onsite with a hybrid schedule

Salary: $103,330–$128,656 yearly, plus potential variable compensation, bonuses, or commissions.

Company

hirify.global is a global business and technology transformation partner delivering strategy, design, engineering, cloud, data, and AI services.

What you will do

  • Lead end-to-end modernization and migration of enterprise data workflows.
  • Define architecture and migration strategies for Informatica-to-Python ETL transformations.
  • Design and implement scalable data processing solutions with Python, SQL, and Java Spring Batch.
  • Evaluate AI-powered accelerators, Generative AI capabilities, and GitHub Copilot productivity improvements.
  • Conduct architecture reviews, solution assessments, and optimization initiatives.
  • Mentor engineering teams and align solutions with stakeholders, architects, and technology leadership.

Requirements

  • 10+ years of experience in data engineering and data modernization.
  • Deep expertise in Informatica, Python ETL, and SQL.
  • Strong experience with Java Spring Batch and enterprise batch processing.
  • Expertise in AWS cloud technologies and modern data architectures.
  • Experience leading large-scale ETL migration and transformation programs.
  • Strong understanding of Generative AI, GitHub Copilot, leadership, communication, and stakeholder management.

Nice to have

  • Financial services industry experience.
  • Experience defining enterprise data modernization roadmaps and engineering standards.

Culture & Benefits

  • Hybrid and flexible work environment.
  • Medical, dental, vision, mental health, and well-being programs.
  • 401(k), employee share ownership, and other retirement savings benefits.
  • Paid time off, company holidays, sick leave, and paid parental leave.
  • Family-building assistance, backup care, tutoring, mentoring, coaching, and learning programs.
  • Employee Resource Groups and disaster relief support.

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