Data Engineer - API Platform Engineer - CDH

Mayo Clinic•Rochester, MN

7h•$102,336 - $143,270

About The Position

The Data Engineer - API & AI Gateway Platform Engineer will design, develop, and support 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, with a focus on scalable platforms, lifecycle management, and secure, high-performing solutions across cloud and hybrid environments. This position is part of Mayo Clinic’s enterprise Information Security Modernization (ISM) program and supports the evolution of secure, scalable API and AI Gateway capabilities. The engineer partners with application, architecture, and platform teams to enable consistent delivery, governance, and operational excellence. A rotating on-call support schedule is required. The role also includes operational support, incident response, platform documentation, runbooks, onboarding materials, and participation in proofs of concept and technology innovation initiatives. The position is not eligible for sponsorship or visa transfer, 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 and two 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 tools and methods, including data analysis, profiling, and modeling.
Ability to manage a varied workload involving multiple project priorities and stay current on healthcare trends and enterprise changes.
Interpersonal and time-management skills.
Strong analytical skills and ability to identify and recommend solutions.
Advanced computer application skills and commitment to customer service.
Experience with data analysis, data quality, and profiling, including data exploration tools such as Rapid SQL, AQT, Information Analyzer, and Informatics.

Nice To Haves

Experience designing, deploying, or operating API management platforms or gateways, including API proxy development, policy enforcement, and integration patterns; Apigee X experience is preferred.
Strong experience with cloud-native infrastructure and container platforms such as Google Cloud Platform, Kubernetes, and Docker, including supporting scalable, highly available distributed systems.
Experience with Infrastructure as Code tools such as Terraform and Helm and CI/CD tools such as Azure DevOps, Jenkins, and 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.
Google Cloud Platform or Kubernetes certification.

Responsibilities

Design, develop, and implement enterprise API and AI Gateway platform capabilities using management solutions such as Apigee, API Connect, or similar.
Build and manage scalable API and AI Gateway proxies and services supporting REST and SOAP integrations.
Implement API and AI 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 platform deployments across GCP, Azure, on-premises, and hybrid environments.
Develop CI/CD pipelines and automation frameworks for consistent deployments and lifecycle management.
Configure and manage traffic policies, including rate limiting, caching, throttling, and load balancing.
Monitor and analyze performance using analytics, logging, and observability tools; identify and resolve performance and reliability issues.
Integrate APIs with backend systems, microservices, and enterprise platforms to enable data exchange.
Participate in migration and modernization from legacy API and AI Gateway platforms to cloud-native or hybrid solutions.
Ensure compliance with security, regulatory, and data privacy requirements, including secure logging and data masking.
Collaborate with developers, architects, and platform teams to turn business and technical requirements into scalable solutions.
Provide operational support, troubleshooting, incident response, and continuous improvement.
Develop and maintain platform documentation, runbooks, and onboarding materials.
Support proofs of concept and innovation initiatives evaluating API, AI Gateway, and integration technologies.
Participate in a rotating on-call support schedule.