Data Engineer - API Platform Engineer - CDH

Mayo Clinic is a renowned healthcare organization, and they are seeking a Data Engineer - API Platform Engineer to design, develop, and support enterprise API platforms. The role involves building scalable API solutions, managing API lifecycle processes, and ensuring compliance with security and data privacy requirements.

Responsibilities:

• Design, develop, and implement enterprise API platform capabilities using API management solutions (e.g., Apigee, API Connect, or similar)
• Build and manage scalable API proxies and services supporting REST and SOAP-based integrations
• Implement API security frameworks including OAuth, JWT, API key management, mTLS, and secure communication protocols
• Develop and enforce API governance standards including versioning, lifecycle management, and API design best practices
• Support API platform deployments across multi-cloud environments (GCP, Azure, on-prem) and hybrid architectures
• Develop CI/CD pipelines and automation frameworks to enable consistent API deployments and lifecycle management
• Configure and manage API traffic policies including rate limiting, caching, throttling, and load balancing to optimize performance and reliability
• Monitor and analyze API performance using analytics, logging, and observability tools; identify and resolve performance or reliability issues
• Integrate APIs with backend systems, microservices, and enterprise platforms to enable seamless data exchange
• Participate in migration and modernization efforts including transition from legacy API platforms to cloud-native or hybrid API solutions
• Ensure compliance with enterprise security, regulatory, and data privacy requirements including secure logging and data masking practices
• Collaborate with developers, architects, and platform teams to translate business and technical requirements into scalable API solutions
• Provide operational support including troubleshooting, incident response, and continuous improvement of API platform capabilities
• Develop and maintain platform documentation, runbooks, and onboarding materials for internal users and developers
• Support proof-of-concepts and innovation initiatives to evaluate new API and integration technologies

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field from an accredited University or College; OR an Associate's degree in Computer Science, Engineering, or related field from an accredited University or College with 2 years of experience
• Demonstrated ability to analyze and profile data as a means to address various business problems through leveraging advanced data modeling, source system databases, or data mining techniques, is required
• Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. data analysis, data profiling, modeling, etc.) required
• Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes
• Interpersonal skills and time management skills are required
• Strong analytical skills and the ability to identify and recommend solutions
• Advanced computer application skills and a commitment to customer service
• Experience with data analysis, quality, and profiling; including data exploration tools including but not limited to Rapid SQL, AQT, Information Analyzer, and Informatics
• Experience designing, deploying, or operating API management platforms or gateways (Apigee X experience preferred), including API proxy development, policy enforcement, and integration patterns
• Strong experience with cloud-native infrastructure and container platforms (Google Cloud Platform, Kubernetes, Docker), including building and supporting scalable, highly available distributed systems
• Experience with Infrastructure as Code (Terraform, Helm) and CI/CD pipeline development (Azure DevOps, Jenkins, GitHub Actions) to enable automated platform provisioning and deployment
• Experience with networking concepts in cloud and hybrid environments, including DNS, load balancing, ingress/egress patterns, firewall rules, and private connectivity
• Experience deploying and managing multi-cloud or hybrid environments, including integration between on-premises and cloud platforms
• Google Cloud Platform (GCP) certification or Kubernetes certification is preferred