Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$98к-134к/год
$140к$160кмедиана$190к
По похожим ролям (50) ~ $160к/год
На СНГ рынке: $3.7к/мес ($2.9к - $4.3к)
63
Средняя вакансия
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Известная компания в сфере здравоохранения, понятные обязанности и хороший пакет льгот сочетаются с зарплатой заметно ниже ориентира для похожих senior-ролей, что снижает привлекательность предложения.
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Зарплата ниже рынкаАктуальный стекПонятные задачиКрупный работодатель
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Manager (Python/SQL/SSIS/Databricks): Managing configuration control, enterprise data lifecycles, data processing, validation, and reporting for complex government and industry requirements with an accent on data architecture, documentation, and baseline management. Focus on building reliable data workflows, protecting and processing large datasets, and independently solving complex technical and operational challenges.
Location: Remote Kentucky, United States. Occasional travel to hirify.global offices for training or meetings may be required.
Salary: $97,900–$133,500 per year, plus eligibility for a bonus incentive plan.
Company
hirify.global is a U.S. healthcare company providing insurance and healthcare services to millions of people, including Medicare and Medicaid members.
What you will do
Manage configuration control, data management, deficiency reporting, and related lifecycle processes.
Implement requirements, document, change, production, delivery, and configuration management policies.
Acquire, validate, store, protect, and process enterprise data to ensure accessibility, reliability, and timeliness.
Develop data architectures, policies, practices, and procedures for full data lifecycle management.
Document data flows, business rules, dependencies, processes, and production support procedures.
Make independent technical decisions for moderately complex to complex project components.
Requirements
Bachelor’s degree.
At least 3 years of hands-on Python experience for data processing, transformation, automation, validation, or related workflows.
At least 3 years of experience with SQL, SSIS, and Databricks.
At least 3 years of experience working with relational databases and large, complex datasets.
Strong technical documentation skills covering data flows, business rules, dependencies, processes, and production support procedures.
Ability to work remotely from Kentucky with a dedicated workspace and internet speeds of at least 25 Mbps download and 10 Mbps upload.
Nice to have
Master’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.
Healthcare or managed care experience.
Experience with SAS, SPSS, QlikView, Hadoop, SQL, or similar data extraction and analysis technologies.
Culture & Benefits
Full-time schedule of 40 hours per week.
Medical, dental, and vision benefits.
401(k) retirement savings plan.
Paid time off, company and personal holidays, and paid parental and caregiver leave.
Short-term and long-term disability coverage, life insurance, and other wellness benefits.
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