Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$203к-274к/год
$170к$200кмедиана$220к
По похожим ролям (49) ~ $200к/год
На СНГ рынке: $3.8к/мес ($3к - $4.3к)
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Чётко очерченная роль Staff-инженера данных в известной финтех-компании с зарплатой выше рыночного ориентира и востребованным стеком; основные компромиссы - работа из офиса и дежурства раз в квартал.
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ДежурстваВостребованный стекВыше рынкаФинтех
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Data Engineer (Fintech): Building enterprise-scale data engineering pipelines and features for QuickBooks Capital customers with an accent on Python, Spark, big data, and cloud technologies. Focus on designing and supporting production systems, solving large-scale data engineering challenges, and maintaining operational reliability through on-call rotations.
Location: Mountain View, California, United States
Base pay: $202,500–$274,000 per year
Company
hirify.global is a financial technology platform developing products including QuickBooks, TurboTax, Credit Karma, and Mailchimp.
What you will do
Design, develop, test, and support enterprise-scale data engineering pipelines and features for QuickBooks Capital customers.
Translate functional requirements into technical designs and specifications.
Estimate medium- to large-complexity work and manage delivery timelines.
Spend approximately 90% of the role on hands-on design, coding, testing, and production support.
Resolve defects and production incidents across testing, release, and post-release environments.
Collaborate with product management, engineering teams, and business units.
Requirements
7+ years of experience developing data engineering pipelines and working with big data technologies.
Strong experience with Python and Spark, including the ability to understand large existing codebases.
Experience with PySpark, SQL, Databricks, AWS, Elasticsearch, and Kafka.
Experience across the full software development lifecycle, software design, architecture, unit testing, and TDD.
Experience building and supporting large-scale enterprise data engineering pipelines and data featurization.
BS/MS in computer science or equivalent professional experience, plus strong technical communication skills.
Culture & Benefits
Agile development environment using Scrum or Extreme Programming methodologies.
Quarterly on-call rotations to monitor production systems and resolve incidents.
Competitive compensation with performance-based rewards.
Potential eligibility for cash bonus, equity rewards, and employee benefits.
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