Назад
Company hidden
обновлено 12 часов назад

Senior Data Engineer, Finance (AWS)

161 500 - 283 900$
Формат работы
remote (только USA)
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
Senior Data Engineer, Finance (AWS): Building and evolving financial data platforms by migrating production data pipelines from Snowflake to AWS with an accent on dimensional modeling, SOX-compliant reporting, and data quality. Focus on optimizing large-scale SQL workflows, implementing Medallion Architecture layers, and leading architecture decisions across Finance and Customer Success data ecosystems.

Location: Remote for candidates residing in the United States within the EST or CST time zones

Base compensation: $161,500–$283,900 per year

Company

hirify.global provides an AI-powered experience orchestration platform that connects people, systems, data, and AI for enterprise customer and employee experiences.

What you will do

  • Own the end-to-end migration of data pipelines from Snowflake to AWS.
  • Design dimensional data models for accurate, SOX-compliant financial reporting and analytics.
  • Build and evolve Medallion Architecture layers, including high-quality Silver and Gold datasets.
  • Optimize SQL transformations and data processing workflows for performance, scalability, and cost efficiency.
  • Establish standards for testing, deployment, documentation, data quality, observability, and monitoring.
  • Lead architecture decisions and translate Finance and Customer Success requirements into production-ready data solutions.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
  • 6+ years of experience building production-grade data platforms or modern data warehouse solutions.
  • Expert-level SQL skills, including complex query design, performance tuning, and large-scale data modeling.
  • Strong Python experience for data pipelines and automation, with experience in Snowflake and AWS services such as Glue, S3, and CloudWatch.
  • Experience with CI/CD pipelines, Git-based workflows, automated testing, data governance, observability, and monitoring.
  • Applicants must already be legally authorized to work in the United States without current or future employer sponsorship.

Nice to have

  • Experience leading or managing cross-functional projects.
  • Experience designing financial data models in regulated environments.
  • Experience with data lineage, cataloging tools, and enterprise data governance frameworks.
  • Track record of leading cross-functional data initiatives with measurable business impact.

Culture & Benefits

  • Flexible work schedules and work-from-home opportunities.
  • Medical, dental, vision, and telehealth coverage.
  • Open Time Off, 10 paid holidays, and a 401(k) matching program.
  • Mentorship, learning programs, leadership development, and education support.
  • Adoption assistance, fertility treatments, paid volunteer time, and well-being resources.

Hiring process

  • Application review by Talent Acquisition and the hiring team.
  • Zoom interview followed by meetings with the hiring manager and interview team.
  • Most processes include no more than five interviews before final steps.

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 →