Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$150к-175к/год
$170к$190кмедиана$230к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
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Хорошая вакансия
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Чётко описанная senior-позиция сочетает работу с клиническим ИИ и развитием платформы данных, но обязательные четыре дня в офисе и отсутствие визовой поддержки ограничивают доступность вакансии.
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Четыре дня в офисеБез визовой поддержкиПонятные задачиИИ в медицинеАктуальный стек
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (AI) (Python/SQL): Building scalable data services, pipelines, and models for AI-powered healthcare products with an accent on data quality, large-scale processing, and LLM- and agent-based capabilities. Focus on designing reliable data platforms, optimizing complex queries and storage systems, and supporting clinical, business intelligence, and operational data needs.
Location: New York City, NY; onsite Monday through Thursday with Fridays remote. The role requires onsite presence in the New York City office four days per week and does not provide immigration support.
Salary: $150,000–$175,000 USD annually.
Company
hirify.global develops AI-powered virtual care products, clinical AI, provider-serving agentic solutions, and virtual clinics for health systems.
What you will do
Design, develop, and optimize data services and solutions supporting products such as FeatureStore and synthetic data management.
Collaborate with data analysts, data scientists, engineers, and cross-functional teams to define requirements and deliver high-quality data solutions.
Design and integrate LLM- and agent-based capabilities into data platforms and services.
Build and optimize scalable data pipelines and robust data models for clinical, business intelligence, and operational needs.
Implement data quality standards, monitoring, and best practices across systems and pipelines.
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, solutions, data pipelines, automations, and integration tools.
Deep SQL experience, including complex queries, performance optimization, and work with large datasets.
Strong knowledge of data modeling principles and best practices for relational and dimensional data structures.
Commitment to maintaining data quality and trust in business-critical data.
Nice to have
Experience with cloud platforms such as AWS, GCP, or Azure for data engineering and storage solutions.
Knowledge of data orchestration tools such as Airflow.
Understanding of CI/CD practices and version control systems.
Experience with Kubernetes.
Experience in ML/AI development.
Culture & Benefits
Hybrid schedule with onsite work Monday through Thursday and remote work on Fridays.
Weekly lunches, a stocked kitchen, monthly social committees, and company events.
18 vacation days, 9 company holidays, 5 sick days, and 2 personal days.
Stock options for every full-time employee and paid parental leave.
401(k), commuter benefits, and health, dental, and vision insurance options.
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