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Data Engineer (AI)

160 000 - 190 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Data Engineer (AI): Building and maintaining production data pipelines, models, and infrastructure for an AI-powered healthcare documentation platform with an accent on distributed data processing, data quality, and platform reliability. Focus on optimizing PySpark workloads and storage patterns, investigating pipeline failures, and supporting scalable analytics and research datasets.

Location: Hybrid in the New York City, Los Angeles, or San Francisco metro areas. . Office attendance is expected on Tuesdays and Thursdays, with more frequent attendance during onboarding and team onsite weeks.

Salary: $160,000–$190,000 per year, plus equity.

Company

Build AI-powered proactive documentation technology that reviews patient data in electronic health records to recommend diagnoses and surface clinical evidence.

What you will do

  • Build and maintain data pipelines supporting analytics and research initiatives.
  • Develop data models and transformations for reliable downstream data delivery.
  • Partner with Engineering to identify and resolve data quality issues.
  • Operate, monitor, and maintain the data platform and its pipelines.
  • Collaborate with Product, Engineering, and Research teams on data-driven decisions.
  • Investigate pipeline failures and optimize processing workloads and storage for performance, scalability, and cost efficiency.

Requirements

  • At least 3 years of experience in data engineering.
  • Production experience building and maintaining data pipelines and data models.
  • Proficiency in Python and SQL.
  • Experience with distributed data processing frameworks such as PySpark and cloud data platforms, preferably AWS.
  • Practical experience with LLM-assisted development and its capabilities and limitations.
  • Willingness to participate in on-call support for owned systems.

Nice to have

  • Experience with Apache Iceberg, AWS Athena, Dagster, ClickHouse, PostgreSQL, FastAPI, or Metabase.
  • Experience with data quality, monitoring, and observability.
  • Familiarity with healthcare data, HIPAA compliance, de-identification, or OMOP CDM.
  • Experience supporting production data workflows and working in a fast-paced startup environment.

Culture & Benefits

  • Hybrid employees can work outside their home office for up to 6 weeks per year.
  • Relocation assistance is available for candidates who do not already reside in the NYC metro area.
  • Health, dental, and vision benefits are 99% employer-paid, with a One Medical subscription.
  • 18 PTO days per year, a one-week holiday break, and a monthly health and wellness budget.
  • Company-sponsored retreats, social events, and a sabbatical program.

Hiring process

  • Successful candidates must complete a background check.

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