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

Pearson; Northern (KY); Remote; USD 80,000 - 90,000; Full time

Job summary

Pearson is seeking a Data Engineer / Full Stack Engineer to design and build scalable backend services in Python with Django, plus modern frontend in Nuxt/Vue. The role covers data pipelines, APIs, and cloud-native infrastructure on AWS, with emphasis on security, scalability, and quality across distributed teams.

The ideal candidate will work across backend, frontend, cloud, and data engineering workflows in a distributed Agile environment, using technologies like DRF, AWS, and OpenAPI to

Qualifications

• Proficient in Python, Django, and DRF for backend services.
• Experience with data transformation and ETL/ELT workflows.
• Hands-on AWS experience including serverless patterns and data pipelines.

Responsibilities

• Design, develop, and maintain scalable backend services using Python, Django, and DRF.
• Build and document RESTful APIs using DRF/OpenAPI/Swagger.
• Implement data validation and API response modeling using Pydantic.

Skills

Python

Django

Django REST Framework

Pydantic

AWS

Nuxt

Vue

TypeScript

GitHub Actions

DRF/OpenAPI/Swagger

Tools

OpenAPI/Swagger

PostgreSQL

Redis

Docker

Terraform

AWS CDK (Python)

AWS Lambda/Mangum

S3/SQS/SNS/EventBridge

Pandas

NumPy

Job description

Pearson is seeking a Data Engineer / Full Stack Engineer to design and build scalable backend services in Python with Django, plus modern frontend in Nuxt/Vue. The role covers data pipelines, APIs, and cloud-native infrastructure on AWS, with emphasis on security, scalability, and quality across distributed teams.

The ideal candidate will work across backend, frontend, cloud, and data engineering workflows in a distributed Agile environment, using technologies like DRF, AWS, and OpenAPI to