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3 дня назад

Sr. Analytics Engineer (AI)

165 000 - 185 000$
Формат работы
onsite
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
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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