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3 дня назад

Senior Software Engineer, Data (AI)

165 000 - 221 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
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 Software Engineer, Data (AI): Building maintainable data pipelines and ETL systems for a clinical AI workflow platform with an accent on Python, SQL, architecture, and asynchronous systems. Focus on designing automated and replicable data infrastructure, monitoring streaming and multithreaded systems, and supporting ML/AI-driven healthcare insights.

Location: Remote in the United States, Canada, or some countries in South America; San Francisco, CA is also listed.

Compensation: $165,000–$221,000 total compensation

Company

hirify.global operates a clinical AI and healthcare workflow platform used by U.S. clinicians and health systems.

What you will do

  • Develop data pipelines and ETL tasks with product managers, data analysts, and machine learning engineers.
  • Translate product requirements into actionable project plans and technical deliverables.
  • Establish data architecture practices that can be scheduled, automated, replicated, and reused across teams.
  • Build infrastructure that facilitates data extraction and business insights.
  • Partner with data leadership to identify and advance meaningful projects across the commercial organization.

Requirements

  • At least 5 years of industry experience as a data engineer or in a similar software engineering role.
  • Expertise in Python and fluency in SQL, with experience developing maintainable data pipelines.
  • Experience with automated testing, design patterns, and software engineering best practices.
  • Experience designing data pipelines from end to end, including technology selection, implementation, testing, and rollout.
  • Knowledge of APIs, streaming, multithreading, asynchronous systems, and their monitoring and maintenance.
  • Working knowledge of deploying and monitoring ML/AI applications, with strong communication and product judgment.

Culture & Benefits

  • Distributed team with flexible ways of working and autonomy.
  • Medical, dental, and vision insurance.
  • 401(k) with company match, flexible paid time off, and company holidays.
  • Paid parental leave and professional development opportunities.
  • Wellness and mental health resources, plus remote work support and a home office stipend where applicable.
  • Equity and annual bonus or incentive compensation may be included where applicable.

Hiring process

  • AI-enabled tools may assist with scheduling, communication, interview coordination, note-taking, and feedback summaries.
  • Human recruiters and hiring managers make all hiring decisions.

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