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Senior Data Engineer (AWS)

105 700 - 149 275$
Формат работы
remote (только USA)
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 (AWS): Designing and maintaining scalable data and file ingestion frameworks for organization-wide reporting and external vendors with an accent on AWS data infrastructure, ETL development, and data reliability. Focus on implementing governance and security, troubleshooting integrity and performance issues, contributing to architecture decisions, and mentoring junior engineers.

Location: Remote nationwide within the United States. Applicants must be authorized to work for any employer in the U.S.; visa sponsorship, including CPT/OPT sponsorship, is not available.

Base salary: $105,700–$149,275 per year, with eligibility for a bonus program.

Company

hirify.global provides financial services focused on helping customers achieve financial freedom and supports data-driven reporting across the organization and external vendor network.

What you will do

  • Design, develop, maintain, and optimize scalable data and file ingestion frameworks for performance and reliability.
  • Translate data requirements from business stakeholders, analysts, architects, testers, and cross-functional teams into technical solutions.
  • Implement data governance, security, coding standards, and best practices.
  • Troubleshoot data integrity, application, and performance issues and identify opportunities for process automation.
  • Contribute to architectural decisions, design discussions, code reviews, and strategic data initiatives.
  • Mentor junior engineers and provide technical guidance on complex projects.

Requirements

  • Bachelor’s degree in computer science, information systems, mathematics, software engineering, or equivalent training and experience.
  • 4–6 years of data engineering experience designing and implementing scalable ingestion frameworks.
  • Proficiency in ETL development with Python, PySpark, Hadoop, and Spark.
  • Strong SQL and relational database experience with technologies such as Postgres, Redshift, or MySQL.
  • Hands-on AWS experience with DynamoDB, EMR Serverless, Lambda, and related services, plus knowledge of data modeling, ETL, and data warehousing.
  • Experience with Agile and Scrum, strong communication and problem-solving skills, and the ability to work independently and mentor junior engineers.

Nice to have

  • IT experience in financial services or another highly regulated industry.
  • Experience with JIRA, DevOps, CI/CD, QuickSight, or Copilot.
  • Strong customer focus and experience building collaborative partnerships across diverse stakeholders.

Culture & Benefits

  • Flexible work environment with support for career mobility, inclusion, well-being, and work-life balance.
  • Medical, dental, vision, and life insurance.
  • 401(k) plan with company matching contributions of up to 6%, financial advisory services, and potential discretionary contributions.
  • Tuition reimbursement of up to $5,250 per year.
  • Paid time off upon hire, company holidays, floating holidays, paid volunteer time, and paid leave programs.
  • Business Resource Groups supporting inclusion and collaboration.

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