Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$98к-134к/год
$110к$130кмедиана$160к
По похожим ролям (49) ~ $130к/год
На СНГ рынке: $2.9к/мес ($1.9к - $3к)
69
Хорошая вакансия
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Известная компания, удалённый формат и понятные задачи по инженерии данных делают вакансию достойной, но зарплата ниже медианы рынка, а требования предполагают серьёзный опыт.
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Ниже рынкаСовременный стекПонятные задачиВлияние на здравоохранение
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (AI): Ingesting and transforming internal and external data with an accent on Databricks, Spark, Scala, Azure data services, and machine learning. Focus on developing and supporting data processing pipelines, exposing large datasets through APIs, automating testing, and applying CI/CD practices.
Location: Remote US; 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 and insurance company serving Medicare, Medicaid, military, individual, family, and community members through hirify.global and CenterWell services.
What you will do
Ingest data from internal and external sources using cloud-native platforms and software development best practices.
Develop software tools using artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions.
Design, develop, test, release, and support data processing pipelines.
Expose large datasets to applications and analytics solutions through APIs.
Document database design, configuration, and performance processes.
Apply established procedures while making decisions on work methods with minimal direction and contributing to improved consumer experiences.
Requirements
Bachelor's degree or 5 years of technical experience.
5 years of experience with Databricks, Spark, and Scala.
Knowledge of SQL and relational database models.
Experience designing, developing, and testing software applications and/or infrastructure.
Experience with APIs for exposing large datasets to applications and data analytics solutions.
Experience with Azure Data Factory, Pipelines, Azure Synapse Analytics, and Azure Data Lake Storage.
Experience with test automation frameworks and tools.
Experience with Agile, Continuous Integration, and Continuous Deployment (CI/CD).
Ability to work from a dedicated space without ongoing interruptions and protect member PHI/HIPAA information.
Nice to have
Experience with Terraform.
Culture & Benefits
Full-time schedule of 40 hours per week.
Remote home-based work with recommended minimum internet speeds of 25 Mbps download and 10 Mbps upload.
Telephone equipment appropriate for business requirements is provided.
Benefits include medical, dental, and vision coverage; 401(k); paid time off; company and personal holidays; paid parental and caregiver leave; disability coverage; and life insurance.
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