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9 часов назад

Senior Data Engineer (AI)

150 000 - 180 000$
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

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TL;DR

Senior Data Engineer (Python/SQL): Building and optimizing high-quality data pipelines and models to drive organizational decision-making with an accent on scalable data services and data quality. Focus on integrating LLM- and agent-based capabilities into data platforms and designing robust clinical and business data models.

Location: Hybrid in New York, NY

Compensation: $150,000 - $180,000 USD

Company

hirify.global is an AI-powered virtual care engine that partners with leading health systems to modernize primary virtual care clinics.

What you will do

  • Design and optimize data services to support company products, including FeatureStore and synthetic data management.
  • Integrate LLM- and agent-based capabilities into data platforms to enable AI-driven data products.
  • Develop scalable data pipelines to ensure data is clean, accurate, and analysis-ready.
  • Build and maintain robust data models for clinical, business intelligence, and operational needs.
  • Implement and enforce data quality standards, monitoring, and best practices across all systems.
  • Manage and optimize large-scale data storage and processing systems for reliability and performance.

Requirements

  • 5+ years of experience as a Data Engineer or Backend Engineer with a strong emphasis on data processing.
  • Proficiency in Python for building services, data pipelines, and integration tools.
  • Deep expertise in SQL for crafting complex queries and optimizing performance.
  • Strong knowledge of relational and dimensional data modeling principles.
  • Must be based in or able to work in a hybrid setup in New York, NY.

Nice to have

  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Knowledge of data orchestration tools like Airflow.
  • Understanding of CI/CD practices and version control systems.
  • Experience with Kubernetes.
  • Experience in ML/AI development.

Culture & Benefits

  • Hybrid work schedule with weekly lunches and company social events.
  • Comprehensive leave package: 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days.
  • Stock options for every full-time employee.
  • 401k and commuter benefits.
  • Competitive health, dental, and vision insurance options.
  • Paid parental leave.

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