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3 дня назад

AWS Data Engineer (Generative AI)

110 100 - 139 300$
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

Текст:
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TL;DR
AWS Data Engineer (Generative AI): Building and supporting AWS-based data solutions, analytics applications, ETL processes, and production data pipelines for enterprise risk analytics in a financial services environment with an accent on Redshift, Glue, Python, SQL, automation, and application performance. Focus on developing reliable data transformations, applying Generative AI to data engineering workflows, and troubleshooting production systems.

Location: Onsite in Knoxville, Tennessee; Columbia, South Carolina; Lafayette, Louisiana; or Birmingham, Alabama

Salary: $110,100–$139,300 per year

Company

hirify.global delivers outsourced services and workforce solutions across North America.

What you will do

  • Develop, enhance, and maintain Enterprise Risk Analytics applications in a financial services environment.
  • Build and support cloud-based data solutions using AWS, with emphasis on reliable processing, analytics, automation, and performance.
  • Develop and enhance data pipelines, ETL processes, and data transformation workflows with technical and business teams.
  • Maintain production-ready analytics workloads and troubleshoot enterprise data applications.
  • Apply Generative AI and automation to improve data engineering processes and operational efficiency.

Requirements

  • 5+ years of hands-on AWS experience in data engineering environments.
  • Experience with Amazon Redshift, AWS Glue, ETL jobs, data transformation workflows, and analytics pipelines.
  • Strong Python programming and advanced SQL skills, including performance optimization.
  • Experience with CI/CD pipelines, automation, modern software delivery, and production support.
  • Familiarity with Generative AI technologies and their use in data engineering or automation.
  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field.

Nice to have

  • Experience with financial services, risk analytics, or similarly regulated data environments.

Culture & Benefits

  • Direct-hire employment.
  • Eligible employees may receive medical, dental, vision, spending account, life insurance, and voluntary plan coverage.
  • Participation in a 401(k) plan.
  • Work is performed onsite at one of the listed U.S. locations.

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