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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): Building scalable dbt data models, semantic layers, and reusable dashboards for healthcare, commercial, marketing, experimentation, and AI use cases with an accent on data quality, consistent metrics, and business-focused modeling. Focus on designing analysis-ready warehouse assets, building AI-driven workflows, and solving data problems before they affect business decisions.

Location: New York City, United States

Base pay range: $165,000–$185,000 USD per year

Company

hirify.global provides personalized substance use and mental health care, combining clinical expertise with technology and AI to improve access and treatment quality.

What you will do

  • Build and maintain dbt models in Amazon Redshift based on business needs.
  • Apply software engineering practices to the transformation layer, including reusable code, testing, lineage, and documentation.
  • Convert ambiguous questions from Commercial, Marketing, and Health Services teams into reusable data models and dashboards.
  • Define and govern consistent metrics through the semantic layer and support experimentation and campaign measurement.
  • Partner with Data Engineering, Product, and analytics teams to deliver analysis-ready data.
  • Build AI-driven workflows and identify data quality issues before they affect business decisions.

Requirements

  • 5+ years of experience in analytics engineering, BI, data analytics, or data modeling.
  • Expert SQL and fluency with dbt, Git, and the analytics development lifecycle.
  • Strong data modeling and data warehousing fundamentals, including documented tables with clear grain.
  • Experience governing metric definitions through a semantic layer and translating business needs into usable models and dashboards.
  • Hands-on experience building AI-driven workflows or skills.
  • Ability to work autonomously in a changing environment.

Nice to have

  • Experience with Cube, Looker, or similar semantic-layer and BI tools.
  • Healthcare or other regulated-data experience.
  • Experience measuring marketing campaigns, experiments, or engagement.

Culture & Benefits

  • Flexible working environment.
  • Medical, dental, and vision coverage.
  • 401(k) plan, equity package, and eligible incentive compensation.
  • Unlimited PTO, paid holidays, and company-wide personal days.
  • Paid parental leave, wellness reimbursement, and family planning care.
  • Annual learning and development stipend and substance use support for employees and family members.

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