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

Pearson

Helena (MT)

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 with strong Python backend (Django/DRF) and modern frontend (Nuxt 4, Vue 3, TypeScript) skills. The role covers building scalable backend services, RESTful APIs, and secure authentication in AWS environments.

You will design data pipelines, ETL/ELT workflows with AWS Glue, Pandas and NumPy, and collaborate in an Agile, distributed team. The position offers backend/frontend ownership, serverless patterns, and data engineering focus with

Qualifications

  • Python, Django and DRF for backend services.
  • Pydantic for validation and API modeling.
  • Token-based auth with django-rest-knox, OAuth, Azure AD.

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 modeling with Pydantic.
  • Develop secure authentication with django-rest-knox, OAuth and MSAL/Azure AD.
  • Create frontend with Nuxt 4, Vue 3 and TypeScript.
  • Manage frontend state with Pinia and Tailwind/Nuxt UI.
  • Design and optimize data pipelines for ingestion, transformation, validation and delivery.
  • Build ETL/ELT workflows with AWS Glue and Pandas/NumPy.

Skills

Python
Django
Django DRF
Nuxt 4
Vue 3
TypeScript
AWS
PostgreSQL
Pandas
NumPy
OAuth
Azure AD
REST APIs
Redis
Docker
AWS Glue
Terraform
AWS CDK
OpenAPI/Swagger
Mangum
SQS/SNS
GitHub Actions

Tools

AWS CDK
Terraform
OpenAPI/Swagger
Mangum
GitHub Actions

Job description

Pearson is seeking a Data Engineer / Full Stack Engineer with strong Python backend (Django/DRF) and modern frontend (Nuxt 4, Vue 3, TypeScript) skills. The role covers building scalable backend services, RESTful APIs, and secure authentication in AWS environments.

You will design data pipelines, ETL/ELT workflows with AWS Glue, Pandas and NumPy, and collaborate in an Agile, distributed team. The position offers backend/frontend ownership, serverless patterns, and data engineering focus with

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