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9 часов назад

Senior Data Engineer (AI)

180 200 - 225 200$
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 Engineer (AI): Building and scaling a foundational data platform to support AI-driven health coaching with an accent on architecture design, ETL pipeline optimization, and data governance. Focus on defining technical standards, managing build-vs-buy trade-offs, and enabling interdisciplinary data science and analytics workflows.

Location: On-site in San Francisco

Salary: $180,200 – $225,200

Company

hirify.global is building an AI-powered health coach designed to provide personalized, patient-centered support for individuals managing chronic conditions.

What you will do

  • Own the architecture and evolution of the data platform, balancing timelines, costs, and resources.
  • Build and optimize robust ETL pipelines and datasets to support analytics and machine learning initiatives.
  • Define and enforce engineering standards for code development, review, and deployment.
  • Establish security, governance, and operational best practices in collaboration with security teams.
  • Partner with cross-functional teams to translate business needs into scalable technical solutions.
  • Provide build-vs-buy assessments to guide platform expansion.

Requirements

  • 5–10 years of industry experience, including technical leadership of data platforms.
  • Deep expertise in building and maintaining data platforms for analytics and data science.
  • Strong command of Python, PySpark, and SQL.
  • Proven track record of designing robust ETL ingestion pipelines from external sources.
  • Experience setting standards for code development and deployment in a data engineering environment.
  • Ability to translate complex business needs into clear technical requirements.

Nice to have

  • Experience building a data platform from zero to one.
  • Background working with healthcare data.
  • Degree in a quantitative field such as data science, statistics, or engineering.
  • Experience with SDLC and MLOps for managing machine learning models in production.

Culture & Benefits

  • Comprehensive health and life insurance coverage.
  • Retirement benefits and company equity program.
  • Paid time off, including vacation and sick leave.
  • Opportunity to work on impactful healthcare solutions within an interdisciplinary team.

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