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 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 operates with a high degree of autonomy, leads architectural decisions, influences platform strategy, and mentors engineers in API and AI gateway platform best practices.

The engineer builds scalable API and AI gateway platforms, manages API lifecycle processes, and implements secure, high-performing solutions across cloud and hybrid environments. The role partners with application teams, architects, and platform teams to enable consistent delivery, governance, and operational excellence. It is part of the enterprise Information Security Modernization (ISM) program and requires participation in a rotating on-call support schedule.

The position requires a relevant bachelor's degree and at least five years of professional or research experience in data visualization, data engineering, or analytical modeling techniques, or a relevant associate degree and at least seven years of such experience. In-depth business or practice knowledge may also be considered. Applicants must not require visa sponsorship or transfer; Mayo Clinic does not participate in the F-1 STEM OPT extension program.

Requirements

• Bachelor's degree in a relevant field and at least five years of professional or research experience in data visualization, data engineering, or analytical modeling techniques; alternatively, an associate degree in a relevant field and at least seven years of such experience. In-depth business or practice knowledge may also be considered.
• Advanced experience in SQL.
• 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.
• Ability to manage varied workloads and multiple project priorities.
• Interpersonal, time-management, cross-functional collaboration, analytical, customer-service, verbal communication, and written communication skills; attention to detail and strong learning and problem-resolution capabilities.
• Must not require visa sponsorship or visa transfer; the position is not eligible for sponsorship, and Mayo Clinic does not participate in the F-1 STEM OPT extension program.

Nice To Haves

• Knowledge of workflow scheduling, such as Apache Airflow or Google Composer; infrastructure as code and containers, such as Kubernetes or Docker; and CI/CD tools such as Jenkins or GitHub Actions.
• Experience with 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.
• GCP certification.
• Experience designing, deploying, or operating API management platforms or gateways, including API proxy development, policy enforcement, and integration patterns; Apigee X experience is preferred.
• Experience with cloud-native infrastructure and container platforms such as GCP, Kubernetes, and Docker, including 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 networking 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 and integrating on-premises and cloud platforms.
• GCP or Kubernetes certification.

Responsibilities

• Lead design and architecture of enterprise API and AI gateway platform capabilities aligned with enterprise standards, scalability, and long-term maintainability.
• Build and manage scalable API proxies and services supporting REST and SOAP integrations.
• Implement and maintain enterprise AI gateway services.
• 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 platform deployments across GCP, Azure, on-premises, and hybrid environments.
• Develop CI/CD pipelines and automation frameworks for consistent deployments and lifecycle management.
• Configure 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 performance or reliability issues.
• Integrate APIs with backend systems, microservices, and enterprise platforms to enable data exchange.
• Participate in migration and modernization 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.
• Develop and maintain platform documentation, runbooks, and onboarding materials.
• Support proof-of-concepts and innovation initiatives to evaluate API and integration technologies.
• Manage varied project workloads and priorities, remain current on healthcare trends and enterprise changes, and work effectively on cross-functional teams.
• Participate in a rotating on-call support schedule.

Benefits

• 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.
• Competitive compensation and comprehensive benefit plans.
• Continuing education and advancement opportunities.

What This Job Offers

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