Назад
Company hidden
8 дней назад

Sr. Data Engineer (AWS)

145 000 - 160 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Sr. Data Engineer (AWS): Building and evolving scalable data platforms, enterprise data warehouses, pipelines, and integration tools on AWS with an accent on Redshift, data modeling, reliability, and data quality. Focus on designing modular data solutions, optimizing large-scale data systems, implementing governance and observability, and delivering trusted datasets with cross-functional teams.

Location: Hybrid role based in the New York City office, with in-office work four days per week. Must have the legal right to work in the United States.

Salary: $145,000–$160,000 per year

Company

hirify.global Group operates lifestyle, fitness, wellness, and hospitality brands including hirify.global, SoulCycle, and hirify.global Hotels.

What you will do

  • Design, implement, and maintain scalable AWS data architecture, pipelines, and modeling strategies.
  • Build data models and schemas in Redshift and support self-service analytics.
  • Monitor, optimize, and troubleshoot data jobs and infrastructure for high availability and performance.
  • Implement data quality checks, validation rules, alerting, lineage, cataloging, and documentation.
  • Partner with Data Science, Analytics, and Business teams to deliver reliable datasets and models.
  • Contribute to Agile planning, code reviews, mentoring, automation, and continuous improvement.

Requirements

  • 6+ years of software or data engineering experience building robust data systems.
  • Expertise in enterprise data warehouses, star schemas, and dimensional modeling.
  • Advanced SQL skills, including complex queries and performance optimization; Python proficiency is a strong plus.
  • Hands-on experience with AWS services including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis.
  • Familiarity with dbt, modern ELT and analytics engineering, structured and unstructured data, governance, quality assurance, and observability.
  • Ability to create technical documentation, communicate cross-functionally, and own solutions from design through deployment.

Culture & Benefits

  • Competitive salary and benefits.
  • Complimentary club membership.
  • Perks and incentives for Personal Training, Pilates, Spa, and Shop services.
  • Collaborative culture with opportunities to mentor peers and promote modern data practices.

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 →