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3 дня назад

Senior Data Engineer (Insurance)

140 000 - 175 000$
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

Текст:
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TL;DR
Senior Data Engineer (Python/Snowflake/Airflow): Building reliable data pipelines and Data Vault 2.0 warehouse components that power insurance pricing, underwriting, servicing, and financial reporting with an accent on data correctness, testing, and operational reliability. Focus on Snowflake administration, resilient Airflow DAGs, observability, cost optimization, and regulated SOX-relevant reporting.

Location: Remote within the United States; U.S. territories excluded. Reliable, high-speed internet required.

Salary: $140,000–$175,000 USD annually

Company

hirify.global uses technology to make commercial insurance more affordable and easier for small businesses to buy and manage.

What you will do

  • Build complex, reliable, and well-tested data pipelines for structured and semi-structured data.
  • Design and maintain Data Vault 2.0 warehouse models that support downstream marts, analytics, pricing, underwriting, servicing, and financial reporting.
  • Administer and optimize Snowflake, including warehouse sizing, query performance, access controls, RBAC, user and role management, and cost governance.
  • Build resilient Airflow DAGs and CI/CD pipelines with predictable deployments and safe rollbacks.
  • Implement automated unit, integration, and data-quality testing, and own production observability, alert tuning, incident response, and reliability improvements.
  • Lead technical projects and cross-team initiatives, translating business needs into technical solutions and communicating trade-offs with stakeholders.

Requirements

  • At least 5 years of experience as a software engineer or data engineer focused on data systems.
  • Advanced SQL skills and proficiency in Python for production-grade data pipelines.
  • Hands-on Snowflake administration experience, including warehouse management, RBAC, role design, access controls, and cost governance.
  • Experience designing modern cloud data warehouses and modeling data in Snowflake, Redshift, or BigQuery; Data Vault 2.0 experience is strongly preferred.
  • Experience with production testing frameworks and data observability tools.
  • Experience leading technical projects end-to-end, working in regulated environments, and developing expertise in insurance concepts such as premium, loss, and policy lifecycle.

Nice to have

  • Deep Data Vault 2.0 experience; strong dimensional modeling experience is also relevant.
  • Experience with AI coding assistants such as Claude Code, Cursor, or Snowflake Cortex.

Culture & Benefits

  • Remote work for team members based in the United States.
  • Comprehensive health plans and generous paid time off.
  • 401(k) matching and parental and caregiver leave.
  • Competitive cash compensation and potential discretionary annual bonuses for eligible employees.
  • AI-assisted application review and interview note-taking are used with human oversight.

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