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17 часов назад

Senior Data Engineer (AI)

160 000 - 210 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
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 ETL pipelines, data infrastructure, and internal frameworks that enable ML engineers to develop, deploy, and iterate on AI-powered features with an accent on reliability, observability, and data quality. Focus on designing prompt engineering pipelines, supporting ML workflows, and enforcing engineering best practices across the AI/ML organization.

Location: Remote

Salary: $160,000–$210,000 per year, plus stock options, benefits, and additional perks.

Company

hirify.global is an AI-native platform transforming the insurance industry through agentic AI across the full policy lifecycle.

What you will do

  • Build robust ETL pipelines that enable user-facing product features.
  • Collaborate with data science, product management, software engineering, analytics, and product support teams.
  • Contribute to architecture decisions, observability tooling, and data quality initiatives.
  • Develop scalable internal frameworks for prompt engineering pipelines and other AI workflows.
  • Improve code quality, testing, documentation, and engineering practices across the AI/ML organization.

Requirements

  • 5+ years of experience in data engineering, backend engineering, or related data infrastructure roles.
  • Experience designing and maintaining scalable data pipelines using tools such as Airflow, Dagster, or Prefect.
  • Strong proficiency in SQL and Python.
  • Experience with version control, CI/CD, cloud infrastructure, and technologies such as AWS, GCP, Terraform, or dbt testing strategies.
  • Ability to work through ambiguity and understand data needs with business stakeholders.
  • Track record of designing high-impact data products and pipelines in fast-paced environments.

Nice to have

  • Typescript or similar software development experience.
  • Experience in insurance, fintech, or risk modeling.
  • Exposure to MLOps or AI/ML-driven products.
  • Experience building internal tools or frameworks, contributing to open-source data tools, or participating in the data community.

Culture & Benefits

  • First-principles approach to problem solving and rapid iteration.
  • Strong focus on listening to users, learning, and adapting decisions.
  • Stock options, benefits, and additional perks included in the total compensation package.
  • Equal-opportunity workplace with reasonable accommodation available during hiring and employment.

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