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42 минуты назад

Data Engineer (AI)

188 000 - 275 000$
Формат работы
hybrid
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 Engineer (AI) (GPU telemetry and data infrastructure): Building reliable ETL/ELT pipelines and clean, documented data tables for GPU telemetry, product usage, operational, and customer data with an accent on data modeling, warehouse architecture, and data quality. Focus on schema management, freshness monitoring, lineage tracking, alerting, and unblocking product, infrastructure, ML, and analytics teams.

Location: New York City, United States; in-person work from the NYC office 2 days a week

Annual base salary: $188,000–$275,000 USD, plus discretionary bonus, equity, and benefits.

Company

hirify.global builds an end-to-end platform for developing, training, and deploying AI systems, combining developer-focused software with large-scale AI compute.

What you will do

  • Design and own ETL/ELT pipelines for GPU telemetry, product usage, operational, and customer data.
  • Build and maintain clean, documented tables for analysts and data scientists.
  • Own data quality through schema management, freshness monitoring, lineage tracking, and alerting.
  • Partner with engineering and go-to-market teams to instrument untracked data.
  • Collaborate with product, infrastructure, ML, and analytics teams to unblock their work.
  • Drive data projects from conception through production as the first Data Engineer.

Requirements

  • 10+ years of experience in data engineering, analytics engineering, or similar data-focused roles.
  • Deep expertise in data modeling, ETL pipelines, and data warehouse architecture.
  • Strong proficiency in SQL, Python, and modern data stack tools such as dbt and SQLMesh.
  • Experience partnering with Data Science, Product, and Engineering leaders to deliver product metrics and user behavior insights.
  • Experience establishing data governance, quality standards, and best practices.
  • Strong communication skills, strategic thinking, hands-on technical leadership, and an end-to-end problem-solving mindset.

Culture & Benefits

  • Hybrid work model with flexible schedules for office-based teams.
  • Medical, dental, and vision coverage for employees and eligible dependents.
  • RSUs, 401(k) matching in the U.S., and location-dependent retirement benefits.
  • Unlimited PTO, company holidays, floating holidays, and a two-week winter company break.
  • Paid parental and family leave, wellness and work-from-home stipends, and an annual learning allowance.
  • Four weeks of paid sabbatical after four years and complimentary meals at office hubs.

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