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Data Engineer - API Platform Engineer - CDH

Overview: In this role you will design, build, and operate enterprise API and AI Gateway platforms to enable secure, scalable data exchange across multi-cloud and on-prem environments. You'll partner with cross-functional teams to drive governance, automation, and operational excellence within Mayo Clinic's ISM program. The position emphasizes security, reliability, and modern cloud/hybrid architectures, offering meaningful impact on data-driven healthcare initiatives. This is a 100% remote, on-call role focused on scalable API solutions that support enterprise needs. Compensation / Benefitsmedical plan optionsdental and vision planspre-tax savings (HSA and FSAs)retirement package 100% remote workcompetitive compensation
Responsibilities:
  • Design, develop, and implement API & AI Gateway capabilities using management solutions (e.g., Apigee, API Connect, or similar)
  • Build and manage scalable proxies and services for REST and SOAP integrations
  • Implement security frameworks (OAuth, JWT, API keys, mTLS) and secure communications
  • Develop governance standards including versioning, lifecycle management, and design best practices
  • Support deployments across multi-cloud and hybrid environments (GCP, Azure, on-prem)
  • Develop CI/CD pipelines and automation to enable consistent deployments and lifecycle management
  • Configure traffic policies (rate limiting, caching, throttling, load balancing) for performance and reliability
  • Monitor performance with analytics and observability tools; resolve issues
  • Integrate APIs with backend systems and enterprise platforms
  • Participate in migration from legacy platforms to cloud-native or hybrid solutions
  • Ensure compliance with security, regulatory, and data privacy requirements
  • Collaborate with developers, architects, and platform teams to translate requirements
  • Provide operational support including troubleshooting and continuous improvement
  • Maintain platform documentation, runbooks, and onboarding materials
  • Support proof-of-concepts and innovation initiatives
Key requirements:
  • Bachelor's or Associate's degree with 2+ years' experience in CS/Engineering or related field
  • Ability to analyze and profile data to address business problems
  • Experience with data analysis methods and tools
  • Strong analytical, time management, and customer service mindset
  • Experience with data analysis, quality, and profiling tools (e.g., Rapid SQL, AQT, Information Analyzer, Informatics)
  • Ability to manage multiple projects with competing priorities
  • Interpersonal skills and collaboration proficiencystrong analytical thinkingteam collaborationtime managementAPI gateway platforms (Apigee X preferred)
  • Cloud-native infrastructure and containers (GCP, Kubernetes, Docker)
  • Infrastructure as Code (Terraform, Helm)