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5 часов назад

Business Intelligence Engineer (AI)

130 500 - 152 250$
Формат работы
remote (только USA)
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
Business Intelligence Engineer (AI): Building trusted dbt-based data models, semantic layers, and QuickSight dashboards for an AI-driven virtual ABA therapy platform with an accent on metric consistency, data quality, and payor outcomes reporting. Focus on architecting QuickSight, migrating from Mode, validating data for analytics agents, and designing BI infrastructure that supports both human and AI-driven analysis.

Location: Fully remote, anywhere in the United States

Salary: $130,500–$152,250 annual salary

Company

AnswersNow develops a virtual ABA therapy platform designed to make autism therapy more immediate, accessible, and effective for families.

What you will do

  • Design and maintain dbt models that encode business logic, metric definitions, and dimensional structures.
  • Build and administer the Amazon QuickSight environment, including data connections, SPICE datasets, refresh schedules, access controls, and performance.
  • Architect the QuickSight layer for a five-domain dashboard program and lead the Mode-to-QuickSight migration.
  • Build data quality tests, validation checks, and monitoring for the internal analytics agent and downstream users.
  • Design payor outcomes reporting packages covering clinical outcomes, utilization summaries, and quality indicators.
  • Evaluate LLM-assisted BI tools and design datasets suitable for human and AI-agent querying.

Requirements

  • 4+ years of experience in data engineering, analytics engineering, or BI architecture.
  • Advanced SQL skills and strong data-modeling experience.
  • Hands-on experience with dbt, including models, tests, DAG management, dimensions, and facts.
  • Experience with Amazon QuickSight or a comparable BI platform.
  • Strong communication skills and the ability to work with business stakeholders to understand domain context.
  • W-2 employment and work authorization verification through E-Verify are required for new hires.

Nice to have

  • Experience with clinical data, healthcare outcomes metrics, or payor reporting.
  • Familiarity with RAG pipelines, vector databases, or AI inference infrastructure.
  • Experience in HIPAA- or SOC 2-compliant data environments.
  • Experience migrating between BI platforms such as Mode, Looker, or Tableau.

Culture & Benefits

  • Fully remote work from anywhere in the United States.
  • Flexible hours and an async-friendly team culture.
  • Inclusive workplace with reasonable accommodations available throughout the hiring process.

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