Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$171к-232к/год
$160к$200кмедиана$210к
По похожим ролям (49) ~ $200к/год
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
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Это понятная senior-роль в инженерии данных в крупной финтех-компании: в фокусе production-пайплайны, а технический стек и обязанности описаны достаточно конкретно.
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Дежурства в продеАктуальный стекФинтех-продукт
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Data Engineer (Fintech): Building enterprise-scale data engineering pipelines and features for QuickBooks Capital and Lending customers with an accent on Python, Spark, Big Data, and production systems. Focus on designing scalable data platforms, solving complex pipeline and reliability issues, and supporting production through on-call rotations.
Location: Mountain View, California, United States
Base pay: $171,000–$231,500 per year. The position may also be eligible for a cash bonus, equity rewards, and benefits.
Company
hirify.global is a financial technology platform offering products including QuickBooks, TurboTax, Credit Karma, and Mailchimp.
What you will do
Understand functional requirements and develop technical designs, specifications, code, and tests.
Design and develop enterprise-scale data engineering pipelines and features for QuickBooks Capital and Lending customers.
Size medium- to large-complexity work and manage timelines and deliveries.
Spend approximately 90% of the role designing, coding, testing, and supporting production systems.
Resolve defects and production incidents across testing, pre-production, production, and post-release stages.
Collaborate with product management, engineering teams, and business units using Agile, Scrum, or Extreme Programming methodologies.
Requirements
5+ years of experience developing data engineering pipelines and working with Big Data technologies.
Experience with Python, PySpark, Spark, SQL, Databricks, AWS, Elasticsearch, and Kafka.
Strong Python and Spark experience, including the ability to understand a large existing codebase.
Experience with the full Software Development Life Cycle and building and supporting large-scale enterprise data engineering pipelines and featurization.
BS/MS in Computer Science or equivalent work experience.
Strong understanding of software design and architecture, unit testing, and Test-Driven Development.
Ability to support production systems through quarterly on-call rotations and resolve production errors and incidents.
Ability to communicate complex technical issues to technical and non-technical audiences.
Experience with AI coding tools such as Claude and Cursor.
Culture & Benefits
Passion for engineering and operational excellence is expected.
Competitive compensation with performance-based rewards.
Potential cash bonus, equity rewards, and benefits according to applicable plans and programs.
Regular pay-equity comparisons across ethnicity and gender categories.
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