Senior Data & Full-Stack Engineer (Python/AWS)

Pearson; Raleigh (NC); On-site; USD 80,000 - 90,000; Full time

Job summary

Pearson is hiring a Data Engineer / Full Stack Engineer to build and maintain scalable backend services, data pipelines, APIs, and cloud-native applications in a distributed Agile environment. You will work across Django/DRF, Nuxt/Vue, AWS serverless, and AWS Glue to transform data and deliver robust analytics platforms.

The ideal candidate will have hands-on experience with Django/DRF, Nuxt/Vue, AWS serverless, and data transformation frameworks, plus a strong foundation in data engineering

Qualifications

• Hands-on Django/DRF development with modern Python backend
• Frontend experience with Nuxt/Vue and TypeScript
• Experience with AWS serverless and cloud infrastructure
• Data engineering and ETL/ELT workflows; AWS Glue favored

Responsibilities

• Design, develop, and maintain scalable backend services using Python, Django, and Django REST Framework (DRF).
• Build and document RESTful APIs using DRF/OpenAPI/Swagger.
• Implement robust data validation and API response modeling using Pydantic.
• Develop secure authentication and authorization mechanisms using django-rest-knox, OAuth, and MSAL/Azure AD integrations.
• Create and maintain modern frontend applications using Nuxt 4, Vue 3, and TypeScript.
• Manage frontend state using Pinia and build responsive UI solutions with Tailwind CSS and Nuxt UI.
• Design and optimize data engineering pipelines for ingestion, transformation, validation, and delivery of structured and semi-structured data.
• Build and support ETL/ELT workflows using AWS Glue, Pandas, NumPy and other tools.
• Develop data transformation processes to improve data quality, consistency, and downstream usability.
• Implement event-driven and asynchronous architectures using AWS SQS, SNS, Lambda, and EventBridge.
• Build and support serverless applications using AWS Lambda and Mangum (ASGI adapter).
• Manage caching and session layers using Redis/ElastiCache; design relational DBs (PostgreSQL 14+).
• Develop reusable adapters for structured data and integrations; provision infrastructure with AWS CDK (Python) and Terraform.
• Support containerization and deployment via Docker and Amazon ECR; maintain CI/CD with GitHub Actions.

Skills

Python

Django

DRF

REST APIs

Pydantic

Authentication

AWS

Serverless

PostgreSQL

Nuxt/Vue

TypeScript

Redis

Pandas

NumPy

CI/CD

OpenAPI/Swagger

Docker

Tools

AWS CDK (Python)

Terraform

Docker

Mangum

OpenAPI/Swagger

GitHub Actions

ECR

Job description

Pearson is hiring a Data Engineer / Full Stack Engineer to build and maintain scalable backend services, data pipelines, APIs, and cloud-native applications in a distributed Agile environment. You will work across Django/DRF, Nuxt/Vue, AWS serverless, and AWS Glue to transform data and deliver robust analytics platforms.

The ideal candidate will have hands-on experience with Django/DRF, Nuxt/Vue, AWS serverless, and data transformation frameworks, plus a strong foundation in data engineering