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

Pearson

Dover (DE)

On-site

USD 80,000 - 90,000

Full time

4 days ago
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Benefits offered by this job

Annual incentive program

Job summary

Pearson is seeking a Data Engineer / Full Stack Engineer to design scalable Python/Django backends, modern frontends with Nuxt/Vue, and AWS cloud services. The role spans data pipelines, APIs, and cloud-native apps in a distributed Agile environment.

You will work across backend, frontend, and data engineering with technologies like DRF, Pydantic, AWS Glue, and Terraform, contributing to secure, scalable enterprise platforms.

Qualifications

  • Proficiency in Python-based backend development and Django REST Framework.
  • Experience building scalable APIs and data pipelines.
  • Hands-on experience with AWS services and cloud infrastructure.
  • frontend experience with Nuxt/Vue and TypeScript.

Responsibilities

  • Design, develop, and maintain scalable backend services using Python, Django, and DRF.
  • Build and document RESTful APIs with DRF/OpenAPI/Swagger.
  • Implement data validation with Pydantic.
  • Develop secure authentication with django-rest-knox, OAuth, and MSAL/Azure AD.
  • Create frontend using Nuxt 4, Vue 3, TypeScript; manage state with Pinia.
  • Design and optimize data engineering pipelines and ETL/ELT workflows with AWS Glue.
  • Operate serverless apps with AWS Lambda, SQS/SNS, EventBridge; utilize Redis/ElastiCache.
  • Provision cloud infra with AWS CDK (Python) and Terraform; containerize with Docker.
  • Build CI/CD pipelines with GitHub Actions; ensure code quality and testing.

Skills

Python
Django
Django REST Framework
Nuxt 4
Vue 3
TypeScript
AWS
OpenAPI
Pydantic
OAuth
Azure AD
PostgreSQL
Redis
ETL/ELT
AWS Glue
Mangum
Docker
Terraform
AWS CDK
GitHub Actions

Tools

Docker
Terraform
AWS CDK
Mangum
GitHub Actions

Job description

Pearson is seeking a Data Engineer / Full Stack Engineer to design scalable Python/Django backends, modern frontends with Nuxt/Vue, and AWS cloud services. The role spans data pipelines, APIs, and cloud-native apps in a distributed Agile environment.

You will work across backend, frontend, and data engineering with technologies like DRF, Pydantic, AWS Glue, and Terraform, contributing to secure, scalable enterprise platforms.

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