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2 дня назад

Senior Platform Engineer, Data (Azure)

101 600 - 152 400$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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