Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$102к-152к/год
$150к$170кмедиана$190к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3.7к/мес ($2.9к - $4.3к)
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Хорошая вакансия
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Роль хорошо очерчена и дает серьезную техническую ответственность за дата-пайплайны, Azure-инфраструктуру и сети, но иногда потребуется поддерживать инциденты вне рабочего времени и ездить в поездки.
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Широкая зона ответственностиСовременный стекПоддержка вне графикаПоддержка развития
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Platform Engineer, Data (Azure): Building reliable, secure, and scalable Azure data platform infrastructure and pipelines with an accent on Databricks, Azure Data Factory, networking, and infrastructure as code. Focus on designing event-driven data flows, securing Private Link connectivity, improving observability and cost efficiency, and operating production systems end to end.
Location: Remote nationwide within the United States; candidates must reside in and be authorized to work within the United States. Periodic travel for team meetings, onsite collaboration, or client engagements may be required.
Salary: $101,600–$152,400 annually, based on experience.
Company
hirify.global provides technology-enabled revenue cycle management and healthcare technology solutions for hospitals, health systems, and affiliated physician groups.
What you will do
Design, build, test, deploy, monitor, and improve scalable data pipelines using Azure Data Factory, Databricks, Apache Spark, and Python.
Implement Delta Lake patterns on Azure Data Lake Storage, event-driven integrations, reusable pipeline templates, and data quality monitoring.
Provision and operate Azure infrastructure and platform services using infrastructure as code, including identity, observability, CI/CD, and cost-management practices.
Design secure Azure networking architectures, configure Private Link connectivity, troubleshoot DNS and routing, and apply encryption, secrets management, and firewall controls.
Write maintainable Python and SQL, participate in architecture and code reviews, address technical debt, and support production incidents.
Collaborate with data engineering, analytics, data science, cloud, infrastructure, product, and business stakeholders while mentoring junior and mid-level engineers.
Requirements
6+ years of hands-on engineering experience, including meaningful experience across data engineering and cloud platform or infrastructure domains.
3+ years working with Microsoft Azure in production, including ADF, ADLS Gen2, Databricks, Azure Functions, Service Bus, Event Hub, and Azure Monitor.
2+ years of hands-on Azure networking experience with VNets, NSGs, Private Endpoints, Private DNS, service endpoints, and firewalls.
2+ years developing with Apache Spark and Databricks, including Delta Lake table design, schema evolution, and performance optimization.
4+ years of production SQL development involving complex transformations, query tuning, indexing, and enterprise-scale data modeling.
Strong Python development skills for data engineering, pipeline orchestration, or platform tooling.
Experience with infrastructure as code; Terraform is preferred, while Bicep or ARM is acceptable.
Experience building and maintaining Azure DevOps CI/CD pipelines, with familiarity with trunk-based development and pull request workflows.
Experience with event-driven architectures and working knowledge of Azure AD, Managed Identities, RBAC, and Key Vault.
Strong engineering fundamentals, including automated testing, code reviews, telemetry, iterative delivery, and DevOps.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
Nice to have
Familiarity with Unity Catalog, column-level security, data masking, audit logging, and other data platform security and governance practices.
Software engineering background in APIs, microservices, or distributed systems.
Experience with relational, columnar, key-value, or graph storage architectures.
Healthcare dataset experience, including familiarity with HL7 or EDI standards.
Experience supporting AI/ML or advanced analytics workloads, such as feature stores, training data pipelines, or model serving infrastructure.
Familiarity with AKS, container networking, Kubernetes deployment patterns, FinOps, Databricks cost management, or Azure cost optimization tooling.
Relevant Azure certifications such as AZ-305, DP-203, or AZ-700.
Culture & Benefits
Remote-friendly work from home or in a general office environment, with occasional off-hours support for incidents or scheduled maintenance.
Customer-focused culture emphasizing innovation, excellence, collaboration, growth, and work-life flexibility.
Benefits include healthcare, paid time off, retirement, and well-being programs.
Professional development includes a relevant certification for each associate and possible tuition reimbursement.
Quarterly and annual incentive programs are available for employees.
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