Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$74к-118к/год
$140к$170кмедиана$230к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3.8к/мес ($3к - $4.3к)
48
Не очень вакансия
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Зарплата заметно ниже ориентира для похожих senior-вакансий в data engineering, при этом нужны широкий опыт в финансовой сфере и знание экосистемы Microsoft. Чётко описанные задачи и льготы немного улучшают предложение, но разрыв в оплате существенный.
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Ниже рынкаДежурстваАктуальный стекПонятные задачиХорошие льготы
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Microsoft Fabric/Financial Services): Building and optimizing compliant data pipelines and service-based data delivery architecture with an accent on Microsoft Fabric, SQL Server, data modeling, and financial services data. Focus on designing scalable integrations, automating operational processes, enforcing data quality and security standards, and troubleshooting production data flows.
Location: On-site in the Western States or Midwest, United States
Salary: $73,500–$117,900 annually
Company
hirify.global is an independent, employee-owned financial services company with a 90-year history, focused on ethical client service, collaboration, and community engagement.
What you will do
Design, implement, and maintain robust, efficient, compliant data pipeline architecture.
Build and maintain service-based architecture for publishing consumable data and information objects.
Automate manual processes, optimize data delivery, and redesign infrastructure for scalability.
Collaborate with data architects, data analysts, software development teams, business stakeholders, and end users.
Define data quality, protection, governance, performance, and adoption standards across the enterprise.
Participate in an on-call rotation to monitor, troubleshoot, and resolve data integration alerts and failures.
Requirements
At least five years of data engineering experience in an oversight capacity.
Extensive financial services industry experience and experience with Microsoft cloud technologies in a hybrid architecture.
Advanced T-SQL, relational databases, stored procedures, and end-to-end data pipeline development experience.
Experience with Microsoft Fabric pipelines, notebooks, Lakehouse/Warehouse concepts, and medallion architecture.
Experience with SQL Server, SSIS, Azure Integration Services, ActiveBatch, web services, API integrations, Python, and PowerShell.
Understanding of data modeling, metadata management, data lineage, compliance, DataOps, DevOps, and data security.
Culture & Benefits
Employee-owned company with an open, adaptive, and collaborative culture.
Medical, dental, and vision coverage.
401(k) and ESOP contributions, paid holidays, and sick, vacation, maternity, and parental leave.
Professional development opportunities and tuition reimbursement up to a $15,000 lifetime cap.
Discounted personal insurance and charitable gift-matching programs.
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