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Data Engineering Specialist – AI

100 000 - 150 000$
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

Текст:
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TL;DR
Data Engineering Specialist – AI (Python/Spark/Ray/Beam): Building and operating large-scale data systems for AI training and evaluation pipelines with an accent on ingestion, transformation, data quality, lineage, and high-throughput delivery. Focus on operating petabyte-scale storage and pipeline systems, supporting multimodal data, and improving training efficiency and model quality.

Location: 100% remote within the United States work-authorization framework

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

  • Build and operate large-scale data systems supporting AI training and evaluation pipelines.
  • Develop data ingestion and transformation workflows across diverse data modalities.
  • Implement data quality assurance, lineage, and high-throughput data delivery to training jobs.
  • Operate petabyte-scale storage and pipeline infrastructure.
  • Support machine learning workloads while improving training efficiency and model quality.

Requirements

  • 6+ years of data engineering experience, including substantial work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • W2 employment only.
  • Applicants must hold an accepted U.S. work authorization status; new H-1B visa petitions cannot be sponsored.

Nice to have

  • Experience with large-scale multimodal datasets.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.

Culture & Benefits

  • Fully remote work arrangement.
  • Opportunity for career growth within an established technology consulting and software development organization.
  • Work across cloud, AI, data, and enterprise solutions.

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