Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$122к-204к/год
$140к$160кмедиана$210к
По похожим ролям (50) ~ $160к/год
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
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Хорошая вакансия
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Зарплата ниже медианы рынка, но обязанности в senior-инженерии данных описаны достаточно четко, стек современный, а крупная медицинская компания предлагает хорошие льготы.
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Ниже рынкаСовременный стекПонятные задачиХорошие льготыМедицинские данные
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Application Development Senior Advisor (Data Engineering): Developing real-time and batch data pipelines for digital experiences and analytics with an accent on AWS, Databricks, Spark, machine learning, and healthcare data governance. Focus on designing scalable ETL and data warehouse solutions, securing PII and PHI with Immuta, integrating Generative AI metadata workflows, and optimizing distributed data processing.
Location: Morris Plains, NJ, United States; hybrid work schedule.
Annual salary: $122,200–$203,600 USD, with a stated salary range of $193,461–$203,600; eligible for an annual bonus plan.
Company
hirify.global provides healthcare services through Cigna Healthcare and Evernorth Health Services, focusing on improving the health and vitality of clients, customers, and patients.
What you will do
Develop real-time and batch data pipelines supporting digital experiences and analytics.
Build production data pipelines and machine learning solutions using AWS, Databricks, Spark with Scala, Python, SQL, and related data platforms.
Make architectural decisions for data pipelines, implement advanced analytics solutions, and assemble complex datasets that meet business and analytics requirements.
Use Generative AI to generate data-table and column descriptions and ingest metadata into Collibra through APIs.
Implement healthcare data governance and access controls, including Immuta column-level masking for PII and PHI and row-level security.
Lead AI-enhanced development workflows, manage GitHub and GitHub Actions CI/CD pipelines, resolve technical data issues, and mentor junior engineers.
Requirements
Master’s degree in Computer Science, Business Analytics, or a related field and 3 years of experience, or a Bachelor’s degree and 5 years of experience.
Experience developing and managing scalable ETL pipelines, collaborative analytics workflows, and production-grade data solutions using PySpark.
Experience leveraging AWS S3 for storage and integration.
Experience writing advanced SQL queries for data extraction, transformation, and analysis in large-scale data environments.
Experience designing and implementing logical and physical data models and applying schema-design best practices.
Experience maintaining enterprise-level data warehouses with reliable ETL processes.
Experience orchestrating, monitoring, and optimizing high-volume big data pipelines across distributed computing frameworks, including ingestion, transformation, and quality assurance.
Experience troubleshooting and optimizing query performance, execution plans, and resource allocation for large-scale datasets.
Culture & Benefits
Full-time employment with a hybrid work schedule.
Home internet must use cable broadband or fiber optic service with minimum speeds of 10 Mbps download and 5 Mbps upload when working remotely.
Medical, vision, dental, well-being, and behavioral health programs available from the first day of employment.
401(k), company-paid life insurance, tuition reimbursement, at least 18 days of paid time off per year, paid holidays, and leaves of absence.
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