Backend Developer, Data Layer / API Specialist

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