Data Engineer API Platform Engineer CDH

The Data Engineer - API Platform Engineer will design develop and support enterprise API platforms leveraging technologies such as Apigee (Edge X Hybrid) and related integration frameworks. This role requires a combination of API architecture integration platform engineering and data enablement skills.

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

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

Key responsibilities include:
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.

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.

Bachelors degree in Computer Science Engineering or related field from an accredited University or College; OR an Associates 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. May provide consultative services to departments/divisions and committees. 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. Incumbent must have 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. Requires 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.

The preferred candidate will possess:

• 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.