Sr. API Integration Engineer - Enterprise Data Solutions - Onsite San Diego HQ

About the role

At Neurocrine Biosciences, we pride ourselves on having a strong, inclusive, and positive culture based on our shared purpose and values. We know what it takes to be great, and we are as passionate about our people as we are about our purpose - to relieve suffering for people with great needs. What We Do: Neurocrine Biosciences is a leading neuroscience-focused, biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering and developing life-changing treatments for patients with under-addressed neurological, neuroendocrine and neuropsychiatric disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, endometriosis* and uterine fibroids,* as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders because you deserve brave science. For more information, visit neurocrine.com , and follow the company on LinkedIn , X and Facebook . ( *in collaboration with AbbVie ) The Senior Application Integration (API) Engineer is responsible for building, operating, and evolving Neurocrine's enterprise integration layer to support omnichannel, digital marketing, and data platform initiatives. This role is primarily hands-on, using Workato as the core orchestration platform while developing production-grade Python solutions where needed for custom logic, transformation, validation, and operational support. This engineer owns the reliability and day-to-day performance of mission-critical integrations connecting web platforms, Salesforce ecosystem tools, Databricks, and third-party systems. In partnership with platform and engineering leadership, the role helps establish reusable integration patterns, CI/CD practices, observability standards, and secure integration methods that reduce vendor dependency and enable scalable growth across Neurocrine's digital ecosystem. _ Your Contributions (include, but are not limited to): Design, build, deploy, and maintain Workato-based integrations and automation workflows supporting enterprise and omnichannel use cases. Develop production-grade Python code for integration logic, data transformation, validation, operational tooling, and custom extensions where platform-native capabilities are insufficient. Build and support bidirectional data integrations between Databricks, web platforms, Salesforce ecosystem tools, and third-party services. Implement data transformation, normalization, schema mapping, and validation for inbound and outbound integrations. Own operational reliability for assigned integrations, including monitoring, alerting, incident response, root cause analysis, retry handling, and long-term remediation. Implement secure integration patterns including authentication, authorization, token management, API security, and secrets handling using standards such as OAuth and JWT. Contribute to reusable integration patterns, standards, and lifecycle practices in partnership with platform and engineering leadership. Support CI/CD, testing, release management, and environment promotion practices for integration workflows and related code artifacts. Review integration designs and implementations delivered by contractors or external partners to ensure scalability, maintainability, and alignment with enterprise standards. Collaborate closely with Data Engineering, Marketing Technology, Web, and platform teams to onboard new systems, data sources, and activation capabilities. Evaluate integration issues and architectural risks, and escalate or challenge patterns that may create reliability, scalability, or maintainability concerns. Support ongoing optimization, scalability, and operational stability of the integration ecosystem.

Requirements

• Bachelor's degree in computer science, engineering or related technical field and 4+ experience with system/data integration, development or implementation of enterprise and/or cloud software OR
• Master's degree and 2+ years of similar experience noted above OR
• Or an equivalent combination of education and experience (8+ years)
• Experience building and supporting production integrations using Workato, MuleSoft, Boomi, or similar integration platforms.
• Strong experience with REST APIs, JSON, webhooks, and common web service integration patterns.
• Ability to write production-quality Python code.
• Strong SQL skills.
• Experience implementing secure integration patterns, including OAuth, JWT, API keys, token management, and secure data transmission.
• Experience with monitoring, logging, alerting, and

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