Posted Jul 12, 2026

Backend Developer, Data Layer / API Specialist

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Job Description: • Design and develop RESTful and/or GraphQL APIs to expose data and business services. • Build backend services that support real-time and batch data access. • Ensure APIs are scalable, resilient, and well-documented (OpenAPI / Swagger). • Implement data ingestion, transformation, and orchestration services. • Integrate with databases, data warehouses, and event streams. • Optimize data access patterns for performance, reliability, and cost. • Integrate backend services with third-party platforms including CDPs, analytics, CRM, CMS, and marketing platforms. • Support identity, consent, and data-governance requirements at the API layer. • Enable downstream consumers including web, mobile, call center, and analytics teams with clean, consistent data interfaces. • Implement authentication, authorization, and API security best practices. • Monitor and tune backend services for performance and availability. • Build logging, error handling, and observability into all services. • Partner with frontend, analytics, and data engineering teams on end-to-end solutions. • Participate in architecture reviews and contribute to backend standards. • Support CI/CD pipelines and infrastructure-as-code workflows. Requirements: • Strong experience with backend languages such as Java, Python, Node.js, or Go. • Hands-on experience building and consuming REST and/or GraphQL APIs. • Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, DynamoDB). • Experience with data pipelines, ETL/ELT, or event-driven architectures. • Familiarity with cloud platforms (AWS, Azure, or GCP) • Hands-on Adobe Experience Platform (AEP) experience, specifically with XDM schemas, data ingestion, identity/profile data, datasets, and AEP integrations. • Experience with CI/CD pipelines, Git-based workflows, and automated testing. • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes preferred. • Understanding of data modeling, schemas, and data quality best practices. • Must have unrestricted authorization to work in the United States without the need for employer sponsorship. Benefits: • medical, dental and vision insurance • life insurance • disability • paid time off • 401(k) • competitive benefits package