Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$165к-185к/год
$160к$190кмедиана$210к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
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Чёткая зона ответственности на senior-уровне и продукт в сфере медицинского AI делают вакансию привлекательной, но обязательный офис в Нью-Йорке и отсутствие визовой поддержки ограничивают доступность.
Работа из офиса
Без визовой поддержки
Современный стек
AI в медицине
Бюджет на обучение
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Analytics Engineer (AI/dbt): Building scalable dbt models, semantic layers, and reusable data assets for healthcare, product, reporting, experimentation, and AI use cases with an accent on data quality, metric governance, and business-focused modeling. Focus on translating ambiguous stakeholder questions into analysis-ready models, building AI-driven workflows, and identifying data problems before they affect business decisions.
Location: New York City, Manhattan, United States
Salary: $165,000–$185,000 USD annual base pay
Company
hirify.global provides specialty substance use and mental health care, combining clinically driven treatment with technology and AI to support members and expand access to care.
What you will do
Build and maintain dbt models in Redshift based on business needs.
Apply software engineering practices to the transformation layer, including DRY code, meaningful tests, lineage, and documentation.
Turn ambiguous needs from Commercial, Marketing, and Health Services into reusable data models and dashboards for analysts and AI.
Define and govern consistent metrics through the semantic layer and support experimentation and campaign measurement.
Partner with Data Engineering, Product, and analytics teams to understand source data and deliver analysis-ready datasets.
Build reusable AI-driven workflows and identify data issues before they affect the business.
Requirements
5+ years of experience in analytics engineering, BI, data analytics, or data modeling.
Expert SQL and fluency with dbt, Git, and the full analytics development lifecycle.
Software engineering discipline, including DRY code, meaningful tests, clear lineage, and documentation.
Strong data modeling and warehousing fundamentals, including clean, well-documented tables with clear grain for analysts and AI.
Experience building and governing metric definitions through a semantic layer with analysts, data engineers, and product teams.
Experience turning business needs into models and dashboards used by stakeholders.
Hands-on experience building AI-driven workflows or skills.
Ability to operate autonomously while priorities and circumstances change.
Nice to have
Experience with Cube, Looker, or similar semantic-layer and BI tools.
Background in healthcare or other regulated data.
Experience measuring marketing campaigns, experiments, or engagement.
Culture & Benefits
Flexible working environment.
Generous equity package and incentive compensation may apply.
Full medical, dental, and vision coverage, plus a 401(k) plan.
Unlimited PTO, 10 paid holidays, and company-wide “Me Time” days.
Paid maternity, paternity, and new parent leave; wellness reimbursement; reproductive and family planning care; and substance use support for employees and family members.
Annual learning and development stipend.
Hiring process
Visa sponsorship is not available for this position.
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