Senior Data & Full‑Stack Engineer – Python, Django & AWS

Pearson; Helena (MT); On-site; USD 80,000 - 90,000; Full time

Job summary

Pearson is seeking a Data Engineer / Full Stack Engineer in the United States to design, build, and maintain scalable backend services and modern frontend applications using Python, Django, DRF, Nuxt/Vue, and AWS cloud services. The role includes developing ETL/ELT pipelines with AWS Glue, managing data transformations, and ensuring secure, scalable API ecosystems.

The candidate will work across backend and frontend systems in distributed Agile teams, focusing on data quality, security, and

Qualifications

• Proficient Python back-end development with Django/DRF.
• Experience building RESTful APIs and OpenAPI documentation.
• Hands-on AWS cloud and serverless architectures.

Responsibilities

• Design, develop, and maintain scalable backend services using Python, Django, and DRF.
• Build RESTful APIs with DRF/OpenAPI/Swagger.
• Develop data pipelines and ETL/ELT workflows with AWS Glue and Pandas/NumPy.
• Implement secure authentication using django-rest-knox, OAuth, and Azure AD integrations.
• Create frontend interfaces with Nuxt 4, Vue 3, and TypeScript; manage state with Pinia.
• Design and optimize data engineering pipelines for ingestion, transformation, validation, and delivery.

Skills

Python

Django/DRF

AWS

Nuxt/Vue

APIs

Pydantic

OAuth

Redis

PostgreSQL

Terraform

Docker

GitHub Actions

AWS Glue

Tools

Django REST Framework (DRF)

OpenAPI/Swagger

Mangum

AWS CDK (Python)

Terraform

ECR

Job description

Pearson is seeking a Data Engineer / Full Stack Engineer in the United States to design, build, and maintain scalable backend services and modern frontend applications using Python, Django, DRF, Nuxt/Vue, and AWS cloud services. The role includes developing ETL/ELT pipelines with AWS Glue, managing data transformations, and ensuring secure, scalable API ecosystems.

The candidate will work across backend and frontend systems in distributed Agile teams, focusing on data quality, security, and