Назад
Company hidden
2 дня назад

Senior Data Engineer

135 000 - 160 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
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

Senior Data Engineer: Designing and scaling systems and pipelines that power hirify.global’s data platform with an accent on high-performance, reliable, and maintainable data solutions. Focus on data extraction frameworks, ETL/ELT pipelines, and improving the efficiency, reliability, and performance of data processing systems.

Location: Hybrid (New York)

Salary: $135,000 to $160,000 per year

Company

hirify.global provides a platform that can optimally inform every doctor interaction globally, promoting health equity and building trust in healthcare systems.

What you will do

  • Develop strategies and frameworks to capture web data at scale.
  • Design, develop, and maintain scalable data extraction frameworks that ingest structured and unstructured data from diverse sources.
  • Build and optimize robust ETL/ELT pipelines using big data technologies, especially Apache Spark on cloud platforms (preferably AWS EMR).
  • Improve the efficiency, reliability, and performance of data processing systems through thoughtful design and continuous optimization.
  • Partner with senior engineers to evolve hirify.global’s data architecture and infrastructure in support of product and platform scalability.
  • Collaborate closely with cross-functional teams to align technical execution with business goals.

Requirements

  • 5+ years professional experience in data engineering or software engineering, working with large-scale data systems and pipelines.
  • Strong proficiency in Python.
  • Proficiency in web scraping strategies and technologies: curl, network analysis, proxies and selenium/playwright.
  • Strong SQL skills and experience with PostgreSQL.
  • Experience with big data tools like Apache Spark, particularly on cloud platforms, with a preference for AWS EMR.
  • Experience with Docker or other containerization technologies.

Culture & Benefits

  • Full suite of health insurance options, in addition to generous paid time off
  • Pre-planned company-wide wellness holidays
  • Retirement options
  • Health & charitable donation stipends
  • Flexible work hours & the opportunity to work from anywhere
  • Opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe

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 →