Backend Developer, Data Layer / API Specialist

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and create RESTful and/or GraphQL APIs to provide access to data and business services.

• Develop backend services that facilitate both real-time and batch data access.

• Ensure APIs are designed for scalability, resilience, and comprehensive documentation (OpenAPI / Swagger).

• Implement services for data ingestion, transformation, and orchestration.

• Integrate with databases, data warehouses, and event streaming systems.

• Optimize data access methodologies for enhanced performance, reliability, and cost-effectiveness.

• Connect backend services with third-party platforms including Customer Data Platforms (CDPs), analytics tools, CRM, CMS, and marketing solutions.

• Support identity, consent, and data governance requirements at the API level.

• Provide clean, consistent data interfaces for downstream consumers, including web, mobile, call center, and analytics teams.

• Implement best practices for authentication, authorization, and API security.

• Monitor and optimize backend services for performance and availability.

• Incorporate logging, error handling, and observability into all services.

• Collaborate with frontend, analytics, and data engineering teams on comprehensive solutions.

• Engage in architecture reviews and contribute to backend standards.

• Support Continuous Integration/Continuous Deployment (CI/CD) pipelines and infrastructure-as-code workflows.

⛳️ Requirements

• Extensive experience with backend programming languages such as Java, Python, Node.js, or Go.

• Practical experience in building and utilizing REST and/or GraphQL APIs.

• Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, DynamoDB).

• Experience with data pipelines, ETL/ELT processes, or event-driven architectures.

• Familiarity with cloud computing platforms (AWS, Azure, or GCP).

• Practical experience with Adobe Experience Platform (AEP), particularly with XDM schemas, data ingestion, identity/profile data, datasets, and AEP integrations.

• Experience with CI/CD pipelines, Git-based workflows, and automated testing practices.

• Knowledge of containerization and orchestration technologies like Docker and Kubernetes is preferred.

• Understanding of data modeling, schemas, and best practices for data quality.

• Must possess unrestricted authorization to work in the United States without requiring employer sponsorship.

🏝️ Benefits

• Medical, dental, and vision insurance.

• Life insurance coverage.

• Disability insurance.

• Paid time off.

• 401(k) retirement plan.

• Competitive benefits package.