Data Engineer - API Platform Engineer - CDH

Mayo Clinic•Rochester, MN

About The Position

The Data Engineer - API & AI Gateway Platform Engineer designs, develops, and supports enterprise API and AI Gateway platforms using technologies such as Apigee (Edge, X, Hybrid), Palo Alto Prisma AIRS (Portkey), Akamai API Security, and related integration frameworks. The role combines API and AI Gateway architecture, integration, platform engineering, and data enablement. It focuses on building scalable platforms, managing gateway lifecycle processes, and delivering secure, high-performing solutions across cloud and hybrid environments. The engineer partners with application, architecture, and platform teams to support consistent delivery, governance, and operational excellence as part of the enterprise Information Security Modernization program. Participation in a rotating on-call support schedule is required. The role also requires analyzing and profiling data to address business problems, providing consultative services to departments, divisions, and committees, and applying problem-solving and continuous-improvement methods. The employee must manage multiple projects and priorities, stay current with healthcare trends and enterprise changes, and provide customer-focused technical support. Visa sponsorship or transfer is not available, and Mayo Clinic does not participate in the F-1 STEM OPT extension program.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field from an accredited university or college; alternatively, an associate's degree in one of these fields plus 2 years of experience.
Demonstrated ability to analyze and profile data to address business problems using advanced data modeling, source system databases, or data mining techniques.
Demonstrated application of problem-solving methodologies, planning techniques, continuous-improvement methods, and analytical methods such as data analysis, profiling, and modeling.
Experience with data analysis, data quality, and data profiling.
Interpersonal and time-management skills.
Strong analytical skills and ability to identify and recommend solutions.
Advanced computer application skills and commitment to customer service.
Ability to manage multiple projects and priorities and stay current on healthcare trends and enterprise changes.
Availability to participate in a rotating on-call support schedule.

Nice To Haves

Experience designing, deploying, or operating API management platforms or gateways; Apigee X experience is preferred.
Experience developing API proxies, enforcing policies, and using integration patterns.
Strong experience with cloud-native infrastructure and container platforms, including GCP, Kubernetes, and Docker, and with scalable, highly available distributed systems.
Experience with Infrastructure as Code such as Terraform or Helm and CI/CD pipelines such as Azure DevOps, Jenkins, or GitHub Actions.
Experience with cloud and hybrid networking concepts, including DNS, load balancing, ingress and egress patterns, firewall rules, and private connectivity.
Experience deploying and managing multi-cloud or hybrid environments, including integration between on-premises and cloud platforms.
GCP certification or Kubernetes certification.

Responsibilities

Design, develop, and implement enterprise API and AI Gateway platform capabilities using solutions such as Apigee, API Connect, or similar technologies.
Build and manage scalable API and AI Gateway proxies and services for REST and SOAP integrations.
Implement gateway security frameworks, including OAuth, JWT, API key management, mTLS, and secure communication protocols.
Develop and enforce governance standards for versioning, lifecycle management, and API design.
Support deployments across GCP, Azure, on-premises, and hybrid environments.
Develop CI/CD pipelines and automation frameworks for consistent gateway deployment and lifecycle management.
Configure traffic policies such as rate limiting, caching, throttling, and load balancing.
Monitor gateway performance with analytics, logging, and observability tools, and resolve performance or reliability issues.
Integrate APIs with backend systems, microservices, and enterprise platforms to enable data exchange.
Participate in migrations and modernization from legacy gateway platforms to cloud-native or hybrid solutions.
Ensure compliance with enterprise security, regulatory, and data privacy requirements, including secure logging and data masking.
Collaborate with developers, architects, and platform teams to translate business and technical requirements into scalable solutions.
Provide operational support, including troubleshooting, incident response, and continuous improvement.
Develop and maintain platform documentation, runbooks, and onboarding materials.
Support proof-of-concepts and innovation initiatives evaluating API, AI Gateway, and integration technologies.
Analyze and profile data to address business problems using data modeling, source system databases, or data mining techniques.
Provide consultative services to departments, divisions, and committees.
Apply problem-solving methodologies, planning techniques, continuous-improvement methods, and analytical tools.
Manage a varied project workload with multiple priorities and stay current on healthcare trends and enterprise changes.