Назад
Company hidden
17 часов назад

Data Engineer (AI)

130 000 - 150 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Engineer (AI/Data): Building and maintaining end-to-end analytical infrastructure, including dbt models, Python ingestion pipelines, Snowflake data warehouse assets, and Tableau data products, with an accent on data quality, automation, and stakeholder-driven analytics. Focus on translating ambiguous business questions into reliable models and dashboards, eliminating manual reporting, and applying AI tools responsibly to data workflows involving patient information.

Location: Hybrid role in New York City, United States; flexible remote or hybrid work options are also mentioned.

Salary: $130,000–$150,000; a separate benefits section lists $140,000–$160,000.

Company

hirify.global is building a national medical imaging network that connects patients, providers, and payers with faster diagnostic imaging.

What you will do

  • Build and maintain tested, documented dbt models that transform raw source data into reliable analytical assets.
  • Partner with Operations, Finance, Marketing, Sales, Product, and other stakeholders to define precise analytical deliverables.
  • Design and ship Tableau dashboards and data products that replace manual reporting with automated outputs.
  • Develop Python ingestion pipelines and model new data sources across systems such as Postgres, HubSpot, Front, Acuity, Dialpad, and advertising platforms.
  • Maintain warehouse data quality through dbt tests, anomaly monitoring, source definitions, documentation, macros, and CI/CD practices.
  • Contribute to data science and engineering initiatives, including ML feature preparation and predictive modeling.

Requirements

  • Strong SQL skills, including complex queries, multi-stage transformations, and query performance optimization.
  • Hands-on experience with dbt or SQLMesh, including model DAGs, testing, documentation, and CI/CD.
  • Experience with a cloud data warehouse such as Snowflake or BigQuery and a BI tool such as Tableau, Metabase, Sigma, or Omni.
  • Python experience for ingestion, transformation, or automation workflows.
  • Ability to work directly with non-technical stakeholders and translate business questions into data-model logic.
  • AI-native approach: experience shipping, automating, or prototyping real work with LLMs, agents, or AI tooling, with sound judgment around human oversight and patient data.

Nice to have

  • Startup or scale-up experience.
  • Healthcare experience, especially in imaging, revenue cycle management, or provider operations.

Culture & Benefits

  • Flexible remote or hybrid work options.
  • Medical, vision, and dental coverage.
  • 28+ days of paid time off across PTO and wellbeing days.
  • Paid parental leave and a 401k retirement plan.
  • Personal development budget and required work equipment.
  • AI is used throughout the company to improve speed, automation, and decision-making.

Hiring process

  • Approximately 30-minute introductory call with a Senior Talent Partner.
  • Approximately 45-minute video interview with the hiring manager focused on the role and technical needs.
  • Values and AI fluency assessment, followed by meetings with founders or other team members and an offer.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →