Data Infrastructure Engineer

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September 26

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Siemens Healthineers

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Healthcare Insurance • Biotechnology • Medical Device

Siemens Healthineers is a leading MedTech company focused on pioneering breakthroughs in healthcare. They offer a comprehensive portfolio that addresses the entire care continuum for serious diseases, including medical imaging, laboratory diagnostics, point-of-care testing, and digital health solutions. With a commitment to innovation, sustainability, and improving patient access to care, Siemens Healthineers collaborates with healthcare professionals and organizations globally to advance medical technology and enhance patient outcomes.

10,000+ employees

⚕️ Healthcare Insurance

🧬 Biotechnology

💰 $1.5M Grant on 2021-05

📋 Description

• Design, implement, and maintain data infrastructure leveraging Azure, Databricks, and MongoDB • Manage and optimize Azure resources (ADLS, Blob Storage, Azure Kubernetes Service, networking, Key Vault, Private Endpoints, Vnets, etc.) for scalable and secure data operations • Deploy and maintain Databricks clusters, jobs, and pipelines with a focus on performance tuning and cost optimization • Operate and scale MongoDB (on Azure or Atlas), including schema design, indexing, sharding, and replication strategies • Build and automate infrastructure-as-code (IaC) solutions using tools such as Terraform, Bicep, or ARM templates • Support a managed Snowflake environment and associated transformation tooling like dbt and integrations with AzureDevOps • Ensure compliance with security, governance, and data residency requirements in a cloud environment • Implement monitoring, alerting, and observability solutions for proactive infrastructure management • Support disaster recovery, backup, and incident response processes • Maintain documentation about the deployed infrastructure and coordinate project deployments to align with overall architecture and future requirements • Work collaboratively with developers, architects, development teams, and other stakeholders

🎯 Requirements

• Master's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience in data infrastructure or cloud engineering • Strong expertise with Azure cloud services, including networking, storage, and security • Hands-on experience with Databricks (cluster management, Delta Lake, Spark optimization) • Proficiency in MongoDB administration and scaling (performance tuning, high availability, backups) • Experience with IaC tools (Terraform, Bicep, ARM templates) for reproducible infrastructure deployments • Proficiency in scripting and automation (Python, PowerShell, Bash) • Experience with CI/CD practices for infrastructure and data pipelines • Experience with Azure DevOps or GitHub Actions for deployment automation • Familiarity with container orchestration (AKS, Kubernetes, Docker) • Experience supporting Snowflake and transformation tooling like dbt and integrations with AzureDevOps

🏖️ Benefits

• Remote work option • Resources and flexibility to foster your professional and personal growth • Inclusive and diverse global community • Opportunities for professional development and career growth • Working with cutting-edge healthcare and analytics technologies • Equal opportunity employer and accommodations for individuals with disabilities