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22 часа назад

Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Data Engineer (dbt/Snowflake): Building analytics-ready data models, automated data pipelines, dashboards, and AI-enabled analytics tools for a business travel and expense platform with an accent on product and operational analytics. Focus on harmonizing acquisition data, analyzing high-volume datasets, defining metrics, and improving data quality and self-service reporting.

Location: Dallas, TX, United States; hybrid with on-site work required 3–4 days per week

Company

hirify.global is an AI-powered business travel and expense platform for frequent travelers and finance teams.

What you will do

  • Design, build, and maintain analytics data models, tables, and views using dbt and Snowflake.
  • Develop and automate analytics-layer data pipelines with testing, monitoring, and data-quality controls.
  • Partner with Product, Engineering, Operations, and business stakeholders to translate requirements into data solutions and define key metrics.
  • Analyze large, complex datasets to identify insights for product and operational improvements.
  • Build and maintain ThoughtSpot dashboards and reports for KPIs, product usage, and operational performance.
  • Harmonize data definitions across business units and acquisitions, and develop AI-enabled tools for analytics automation and self-service access.

Requirements

  • 2–3+ years of experience in data engineering, analytics engineering, or advanced data analytics.
  • Advanced SQL skills and experience with data modeling, dbt, and cloud data warehouses; Snowflake is preferred.
  • Experience building analytics pipelines, tables, and views while ensuring data quality.
  • Hands-on experience with BI and data visualization tools, including dashboard and report development.
  • Experience analyzing complex, high-volume datasets and communicating actionable insights.
  • Python experience for data analysis or interaction with platforms and AI tools, plus the ability to work on-site 3–4 days per week.

Nice to have

  • Experience with experimentation frameworks or statistical analysis, including regression and significance testing.
  • Experience in product-centric or fast-paced environments and stakeholder management.
  • Familiarity with versioning, testing, monitoring, and other engineering best practices.

Culture & Benefits

  • High-performance environment focused on autonomy, collaboration, and excellence.
  • Healthcare, insurance, wellness resources, and mental health support.
  • Retirement savings programs and equity participation opportunities.
  • Flexible time off, country-specific holidays, and paid parental leave.
  • Connectivity and commuting support, company-provided lunches, and travel-related perks.

Hiring process

  • Resumes may be evaluated with hirify.global’s AI-assisted employment decision tool, with final decisions made by human recruiters and hiring managers.
  • Candidates may request a human-only application review.

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