Senior Data Engineer - API Platform Engineer - CDH

Mayo Clinic • Rochester, MN

9h • $141,024 - $204,526

About The Position

The Senior Data Engineer - API & AI Gateway Platform Engineer will design, develop, and support enterprise API and AI gateway platforms using technologies including 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 operates with a high degree of autonomy, leading architectural decisions, influencing platform strategy, and mentoring engineers in platform best practices.

The role focuses on building scalable API and AI gateway platforms, managing API lifecycle processes, and implementing secure, high-performing solutions across cloud and hybrid environments. The engineer partners with application, architecture, and platform teams to deliver consistent API and AI gateway capabilities, governance, and operational excellence. As part of the enterprise Information Security Modernization program, the position supports secure and scalable API, AI gateway, and API security capabilities. Participation in a rotating on-call support schedule is required.

Requirements

• Bachelor's degree in a relevant analytical or quantitative field and at least five years of professional or research experience in data visualization, data engineering, or analytical modeling; alternatively, an associate's degree in a relevant field and at least seven years of such experience. In-depth business or practice knowledge may also be considered.
• Ability to manage a varied workload with multiple project priorities and stay current on healthcare trends and enterprise changes.
• Interpersonal and time-management skills, and demonstrated experience working on cross-functional teams.
• Strong analytical skills, ability to identify and recommend solutions, and commitment to customer service.
• Excellent verbal and written communication skills, attention to detail, and strong learning and problem-resolution capabilities.
• Advanced SQL experience.
• Strong experience with scripting languages such as Python, JavaScript, PHP, C++, or Java, and API integration.
• Experience with hybrid data processing methods (batch and streaming), such as Apache Spark, Hive, Pig, or Kafka.
• Experience with big data, statistics, and machine learning.
• Ability to navigate Linux and Windows operating systems.
• The position is not eligible for visa sponsorship or transfer; Mayo Clinic does not participate in the F-1 STEM OPT extension program.

Nice To Haves

• Knowledge of workflow scheduling tools such as Apache Airflow or Google Composer.
• Knowledge of infrastructure as code and container technologies such as Kubernetes and Docker.
• Knowledge of CI/CD tools such as Jenkins or GitHub Actions.
• Experience in DataOps/DevOps and agile methodologies.
• Experience with hybrid data virtualization such as Denodo.
• Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google BigQuery.
• Google Cloud Platform certification.
• Experience designing, deploying, or operating API management platforms or gateways, including API proxy development, policy enforcement, and integration patterns; Apigee X experience preferred.
• Experience with cloud-native infrastructure and container platforms, including GCP, Kubernetes, and Docker, and supporting scalable, highly available distributed systems.
• Experience with Infrastructure as Code tools such as Terraform or Helm and CI/CD pipeline development using Azure DevOps, Jenkins, or GitHub Actions.
• Experience with cloud and hybrid networking concepts, 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.
• Kubernetes certification.

Responsibilities

• Lead the design and architecture of enterprise API and AI gateway platform capabilities, aligned with enterprise standards, scalability, and maintainability.
• Build and manage scalable API proxies and services for REST and SOAP integrations.
• Implement API security frameworks, including OAuth, JWT, API key management, mTLS, and secure communication protocols.
• Implement and maintain enterprise AI gateway services.
• Develop and enforce API governance standards, including versioning, lifecycle management, and API design practices.
• Support API and AI gateway platform deployments across GCP, Azure, on-premises, and hybrid environments.
• Develop CI/CD pipelines and automation frameworks for consistent API and AI gateway deployments and lifecycle management.
• Configure and manage API traffic policies, including rate limiting, caching, throttling, and load balancing.
• Monitor and analyze API performance with analytics, logging, and observability tools; identify and resolve reliability or performance issues.
• Integrate APIs with backend systems, microservices, and enterprise platforms to enable data exchange.
• Participate in migrations and modernization, including transitions from legacy API 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 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.
• Support proof-of-concepts and innovation initiatives evaluating API and integration technologies.
• Participate in a rotating on-call support schedule.

Benefits

• Multiple medical plan options.
• Dental coverage through Delta Dental or a reimbursement account for flexible coverage.
• Vision plan with a national network.
• HSA and FSAs for eligible expenses.
• Competitive retirement package.
• Continuing education and advancement opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior