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Data Engineer - API Platform Engineer - CDH

Job in Rochester, Olmsted County, Minnesota, 55905, USA
Listing for: Mayo Career Site US
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

The Data Engineer - API & AI Gateway Platform Engineer will design, develop, and support enterprise API & AI Gateway platforms leveraging technologies such as Apigee (Edge, X, Hybrid), Palo Alto Prisma AIRS (Portkey), Akamai API Security and related integration frameworks. This role requires a combination of API & AI Gateway architecture, integration, platform engineering, and data enablement skills.

The ideal candidate will have experience building scalable API & AI Gateway platforms, managing API & AI Gateway lifecycle processes, and implementing secure, high-performing API & AI Gateway solutions across cloud and hybrid environments. The Data Engineer will partner with application teams, architects, and platform teams to enable consistent API & AI Gateway delivery, governance, and operational excellence.

This role is part of the enterprise Information Security Modernization (ISM) program, supporting the evolution of secure, scalable API & AI Gateway platform capabilities. Participation in a rotating on-call support schedule is required.

  • Design, develop, and implement enterprise API & AI Gateway platform capabilities using API & AI Gateway management solutions (e.g., Apigee, API Connect, or similar).
  • Build and manage scalable API & AI Gateway proxies and services supporting REST and SOAP-based integrations.
  • Implement API & AI Gateway security frameworks including OAuth, JWT, API key management, mTLS, and secure communication protocols.
  • Develop and enforce API & AI Gateway governance standards including versioning, lifecycle management, and API design best practices.
  • Support API & AI Gateway platform deployments across multi-cloud environments (GCP, Azure, on-prem) and hybrid architectures.
  • Develop CI/CD pipelines and automation frameworks to enable consistent API & AI Gateway deployments and lifecycle management.
  • Configure and manage API & AI Gateway traffic policies including rate limiting, caching, throttling, and load balancing to optimize performance and reliability.
  • Monitor and analyze API & AI Gateway 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 & AI Gateway platforms to cloud-native or hybrid API & AI Gateway 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 & AI Gateway solutions.
  • Provide operational support including troubleshooting, incident response, and continuous improvement of API & AI Gateway 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 & AI Gateway and integration technologies.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

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