Job SummaryDesign, build, test, and maintain reliable integration solutions, APIs, and data flows that connect enterprise applications, data platforms, and external partners. This role owns end-to-end integration components and works independently on moderately complex integration and engineering tasks, partnering with senior engineers, architects, product teams, and business stakeholders to deliver high-quality, scalable, and well-documented solutions.
Major Tasks, Responsibilities and Key Accountabilities• Design, develop, and maintain production-ready APIs and integration flows across cloud, on-premises, and third-party platforms.
• Implement scalable integration patterns, including synchronous, asynchronous, batch, and event-driven processing.
• Collaborate with business and technical stakeholders to understand integration and data requirements and translate them into effective technical solutions.
• Build reusable integration components and services aligned with enterprise architecture, security, and development standards.
• Perform unit testing and support QA, regression, and user acceptance testing for integration solutions.
• Troubleshoot, debug, and resolve integration failures, data flow issues, performance bottlenecks, and production defects.
• Contribute to technical documentation, including solution designs, interface specifications, data mappings, and operational runbooks.
• Participate in peer code reviews and apply feedback to improve code quality, reliability, and maintainability.
• Support enhancements, patches, upgrades, and operational administration activities across integration and related data platforms
Preferred Qualifications• 3-5 years of hands-on experience in integration development or API engineering.
• Experience developing and supporting integrations using MuleSoft or comparable middleware/iPaaS platforms.
• Strong understanding of REST, SOAP, JSON, XML, and common API and integration design patterns.
• Experience building event-driven integrations (Kafka, RabbitMQ, Azure Service Bus, etc.).
• Proficiency in SQL and experience working with relational databases.
• Experience with Java, JavaScript, Python, or similar programming and scripting languages.
• Familiarity with API testing and troubleshooting tools such as Postman, JMeter, or similar technologies.
• Hands-on experience with version control and CI/CD practices using Git and platforms such as Azure DevOps, GitHub, or GitLab.
• Understanding of integration security concepts and protocols, including OAuth2, JWT, SSL/TLS, and SAML.
• Familiarity with enterprise applications and data domains, including ERP platforms and/or master data, is a plus.
• Excellent problem-solving skills and ability to learn new integration platforms quickly.
Strong communication skills with the ability to translate complex technical concepts into business-friendly language.
• Bachelor's degree in Computer Science, Information Technology, or related field.
Career Level DimensionsTypical Training/Experience- Typically requires BS/BA in a related discipline. Generally, 3-5 years of experience in a related field; certification is required in some areas OR MS/MA and generally 2+ years of experience in a related field.
Problem Complexity- Applies established problem-solving skills to moderately complex situations. Identifies root causes for common and recurring data issues and escalates more complex or ambiguous problems appropriately. Troubleshoots and resolves issues within defined data pipelines, systems, or domains, using documented patterns and guidance from senior team members.
Autonomy- Performs assignments with moderate independence, operating within established practices and architectural standards.
- Determines appropriate approaches to solutions for well-defined problems.
- Receives regular technical guidance on complex problems, design decisions, or unfamiliar technologies.
Collaboration- Works closely with other engineers, analysts, and business partners to deliver reliable, high-quality data solutions.
- Actively participates in knowledge sharing, documentation, and peer reviews.
- May provide informal guidance to less experienced engineers but does not have formal leadership or people management responsibilities.
