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8 часов назад

Principal Data Engineer (AI)

138 000 - 200 100$
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

Principal Data Engineer (Python/AWS): Designing and modernizing enterprise data platforms and analytics solutions with an accent on scalable data engineering patterns and AI/ML enablement. Focus on migrating legacy ETL platforms to cloud-native architectures and ensuring high-performing data products.

Location: Remote (Nationwide US). Applicants must be authorized to work for any employer in the U.S. (No sponsorship provided)

Salary: $138,000 - $200,100

Company

hirify.global is a financial services company focused on helping customers achieve financial freedom through retirement and wealth management.

What you will do

  • Lead the design and implementation of scalable data pipelines, models, and integrations for enterprise analytics.
  • Guide the modernization of legacy ETL and reporting platforms into cloud-native, automated architectures.
  • Define and execute the technical roadmap for data engineering, platform modernization, and data quality.
  • Partner with architects and product owners to translate business requirements into resilient data solutions.
  • Mentor engineering teams in cloud data engineering and modern analytics engineering practices.
  • Support AI/ML enablement by ensuring reliable, governed, and feature-ready datasets.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, or equivalent experience.
  • 12 or more years of experience in software or data engineering.
  • Strong proficiency in Python, SQL, and distributed data processing (ETL/ELT).
  • Proven experience with cloud-based data platforms, deployment, and operational support.
  • Deep understanding of data modeling, warehousing, metadata management, and CI/CD.
  • Must be authorized to work in the U.S. without sponsorship (including CPT/OPT).

Nice to have

  • Experience with Spark or similar large-scale processing frameworks.
  • Experience with AWS, Redshift, or Snowflake.
  • Familiarity with dbt or equivalent analytics engineering frameworks.
  • Experience with SAP BusinessObjects Data Services or SAP Web Intelligence.
  • Relevant certifications in Cloud, Data Architecture, or AI/ML.

Culture & Benefits

  • Comprehensive medical, dental, vision, and life insurance.
  • 401(k) plan with generous company matching up to 6%.
  • Tuition reimbursement up to $5,250 per year.
  • Generous paid time off, including 10 company holidays and 3 floating holidays.
  • 16 hours of paid volunteer time per calendar year.
  • Paid parental leave and short/long-term disability programs.

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