Senior Data Engineer – API

Senior Data Engineer – API

This role requires deep expertise in API architecture, backend engineering, cloud platforms, and a strong understanding of how frontend applications consume APIs. You will collaborate with cross-functional teams across engineering, data, cloud, and product to build secure, reliable, and user-centric digital solutions.

Key Responsibilities

1. API & Backend Engineering

• Design, build, and maintain scalable

  RESTful and GraphQL APIs

  .
• Architect and implement backend services using

  Java/Spring Boot

  ,

  Python FastAPI

  , or

  Node.js frameworks

  such as Express.js or NestJS.
• Model API resources, version APIs, and enforce consistent request/response patterns.
• Implement validation frameworks (Zod, Joi, Yup) and standardized error structures.
• Build data access layers using both relational (PostgreSQL, SQL Server, MySQL) and NoSQL (MongoDB) databases.
• Manage schema migrations, indexing, transactions, and performance tuning.
• Ensure security through JWT, OAuth2/OIDC, role-based authorization, rate limiting, and OWASP best practices.

2. Full-Stack Capability (React as API Consumer)

• Build API-driven user interfaces using

  React

  with functional components and hooks (useState, useEffect, useContext).
• Integrate frontend applications with APIs using

  fetch, Axios

  , and data-fetching libraries such as

  React Query/TanStack Query, SWR, or RTK Query

  .
• Implement pagination, filtering, sorting, and robust error/loading states.
• Manage application state using Context API, Redux, Zustand, or similar tools.
• Implement authentication flows, token handling, protected routes, and role-based UI access controls.

3. Data Engineering & Architecture

• Architect and optimize application, data, and infrastructure layers to deliver high performance and scalability.
• Build message-driven systems using Service Bus, Kafka, Tibco, MQ, etc.
• Integrate APIs with data pipelines and analytics layers to support real-time and batch workloads.
• Support Azure-based deployments using SQL Server, Redis, App Services, API Management, and cloud-native components.

4. API–UI Contract Management

• Use

  OpenAPI/Swagger

  or GraphQL schemas as a single source of truth.
• Enable frontend development using shared TypeScript types or contract-first design.
• Provide mock servers, stubs, and consistent validation/error contracts for cross-team harmony.

5. Quality Engineering & Automation

• Develop unit, integration, and contract tests using Jest, Vitest, Postman, or Insomnia.
• Implement test automation frameworks to ensure data quality and API reliability.
• Build CI pipelines to automate builds, tests, and deployments.

6. DevOps, Cloud & Delivery

• Manage environment configuration for local, dev, QA, staging, and production.
• Containerize services using Docker and deploy to Kubernetes, serverless, or VM-based environments.
• Implement sophisticated logging (pino, winston), tracing, and monitoring solutions (Sentry, health checks).
• Ensure secure secrets management using environment variables or cloud key vaults.

7. End-to-End Delivery Ownership

• Lead the full E2E lifecycle:
• API design and documentation
• Backend implementation
• Database integration
• Security & authentication
• Frontend consumption
• Deployment & monitoring
• Drive best practices in scalability, resilience, error handling, and observability.
• Mentor junior engineers and foster engineering excellence.

Essential Qualifications

• Bachelor’s degree in

  Computer Science, Engineering

  , or related field (Master’s preferred).

• 7+ years

  of experience in software engineering with strong API and backend development background.
• Expertise in

  Java/Spring Boot

  and

  Python

  , plus working knowledge of

  Node.js

  .
• Strong understanding of JavaScript (ES6+) and TypeScript fundamentals.
• 3+ years of architectural experience across application, data, and infrastructure layers.
• Experience with multi-threading, concurrency, microservices, and distributed system design.
• Hands-on experience with Azure or any major cloud platform.
• Strong experience with message-driven architecture (Kafka, MQ, Service Bus).

Preferred Skills

• Experience with AWS or GCP.
• Knowledge of ML/AI-driven applications or model-serving workflows.
• Experience with scripting languages (PowerShell, Bash, JavaScript, Regex).
• Prior experience in regulated industries or data-centric domains (Life Sciences, Healthcare, Financial Services).
• Familiarity with analytics platforms and data quality frameworks.