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1 день назад

Senior Data Engineer (AI)

100 000 - 130 000$
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

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TL;DR
Senior Data Engineer (AI): Building scalable batch and real-time data pipelines, dimensional models, and data services for lending and insurance analytics with an accent on reliability, data quality, and cost efficiency. Focus on designing recovery-ready integrations, optimizing queries and compute, and validating AI-assisted development workflows.

Location: Remote; candidates must be legally authorized to work in the United States. hirify.global does not provide employment visa sponsorship.

Base pay: $100,000–$130,000 per year, with eligibility for an annual performance bonus.

Company

hirify.global operates lending and insurance businesses supported by reporting, analytics, data science, and data engineering services.

What you will do

  • Build and operate scalable batch and real-time streaming pipelines, ETL/ELT workflows, and database applications.
  • Design dimensional models and reusable datasets for business, analytics, and data science teams.
  • Improve reliability through automated quality checks, freshness monitoring, performance tuning, cost optimization, and incident response.
  • Create reusable engineering frameworks, automated tests, deployment patterns, documentation, runbooks, and technical standards.
  • Partner with business, analytics, product, infrastructure, and engineering teams to define requirements and roadmap priorities.
  • Apply AI tools to coding, testing, documentation, and troubleshooting while validating results and protecting sensitive data.

Requirements

  • 5+ years of hands-on data engineering experience delivering and supporting production solutions.
  • Advanced SQL skills, including complex query development, tuning, debugging, and data analysis.
  • Experience with data lakes, data warehouses, distributed platforms, and batch and streaming integration patterns.
  • Strong dimensional modeling and data warehousing knowledge, including fact tables, dimension tables, grain, and historical changes.
  • Ability to deliver independently in an Agile environment using testing, version control, documentation, and systematic troubleshooting.
  • Legal authorization to work in the United States; employment visa sponsorship is not available.

Nice to have

  • Snowflake, SQL Server, Matillion, dbt, or similar data integration and transformation tools.
  • Python, C#, PowerShell, Git, GitLab, and CI/CD experience.
  • Power BI, Tableau, Streamlit, or related dashboard and data application experience.
  • Experience with AI-assisted development tools such as Claude Code, Codex, Cursor, or Maia.
  • Education in Computer Science, Mathematics, or a related field, or equivalent practical experience.

Culture & Benefits

  • Collaborative, entrepreneurial environment with ownership and flexibility.
  • Medical, dental, and vision insurance.
  • 401(k) matching and generous time off.
  • Wellness programs and resources.
  • Annual performance bonus eligibility.

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