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3 часа назад

Senior Data Analytics Engineer (AI)

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
Senior Data Analytics Engineer (AI): Shaping analytics platforms, semantic layers, and governed data models with an accent on dbt, cloud data warehouses, and AI-ready data foundations. Focus on designing reusable data products, optimizing warehouse performance, automating data quality workflows, and translating complex business needs into scalable data infrastructure.

Location: USA

Company

hirify.global provides human capital management solutions through its People Cloud platform, combining HR, payroll, benefits, workforce management, talent management, analytics, and artificial intelligence.

What you will do

  • Design and evolve the semantic layer and analytics data models using dbt and modern cloud data warehouses.
  • Build reusable data products and AI-ready data foundations for self-service analytics and AI-assisted discovery.
  • Define and enforce practices for data transformation, versioning, testing, documentation, automation, and quality monitoring.
  • Own the lifecycle of metrics and definitions, ensuring consistency, trust, and reuse across the organization.
  • Collaborate with analysts, product managers, data engineers, and AI stakeholders to translate business needs into scalable data infrastructure.
  • Optimize warehouse performance for cost and scale while mentoring analytics engineers and analysts.

Requirements

  • 7+ years of experience in analytics engineering, data engineering, or data analytics.
  • Expertise in dbt and modern data transformation pipelines.
  • Strong knowledge of dimensional modeling, star and snowflake schemas, slowly changing dimensions, and data vault concepts.
  • Proficiency in SQL, Python, Git-based workflows, CI/CD, and software engineering practices.
  • Experience with cloud data warehouses such as Databricks, Snowflake, or BigQuery.
  • Ability to communicate complex data topics and translate ambiguous business requirements into structured models.

Nice to have

  • Experience with Power BI, Looker, Mode, Hex, or Tableau.
  • Exposure to Spark.
  • Experience with experimentation, A/B testing infrastructure, and analysis.

Culture & Benefits

  • Work on a connected HCM platform used by more than 200,000 employers and 9 million U.S. employees.
  • Collaborate across analytics, engineering, product, and AI functions.
  • Join an equal opportunity employer with an open and merit-based workplace.
  • Employee experience and total rewards programs are provided through hirify.global.

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