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11 часов назад

Staff Data Engineer (Fintech)

197 000 - 263 670$
Формат работы
onsite
Тип работы
fulltime
Грейд
principal
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

Staff Data Engineer (Fintech): Building and optimizing core data capabilities and pipelines for a financial technology platform with an accent on seamless data integrations, high-quality pipelines, and optimized data platforms. Focus on creating scalable data pipelines, designing data products, and optimizing data workflows to support analytics, business intelligence, and AI-driven use cases.

Location: Onsite in Mountain View, California

Salary: $197,000–$263,670

Company

hirify.global is a global financial technology platform powering prosperity for individuals and communities worldwide with products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Collaborate with cross-functional teams to translate business challenges into reliable data-driven solutions.
  • Design, develop, and deploy scalable data pipelines to meet the growing data needs of QuickBooks Capital.
  • Build and maintain robust data pipelines that transform and load large datasets across multiple domains.
  • Utilize tools like Databricks and advanced big data technologies to build and iterate on innovative solutions.
  • Strategically apply data solutions to address key business challenges and deliver value through actionable insights.
  • Monitor pipeline performance, resolve issues, and mentor team members to foster excellence and growth.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Minimum 10 years of hands-on experience in data engineering or a similar role focused on big data platforms and solutions.
  • Strong understanding of data engineering and dimensional design fundamentals, front-end analysis / data visualization.
  • Strong proficiency in programming languages such as Python, Java, or Scala, and experience with SQL.
  • Demonstrated experience with big data tools and frameworks such as Apache Spark, Hadoop, or Databricks.
  • Experience with data modeling, data warehousing, and building ETL pipelines.

Culture & Benefits

  • Competitive compensation package with a strong pay for performance approach.
  • Eligible for a cash bonus, equity rewards, and comprehensive benefits.
  • Opportunity to drive impactful outcomes using data, such as improving loan approval processes and enhancing customer insights.
  • Collaborative environment that empowers team members and fosters excellence and growth.

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