Data & Full-Stack Engineer (Python/AWS)

Pearson; Columbus (OH); On-site; USD 80,000 - 90,000; Full time

Job summary

Pearson is seeking a highly skilled Data Engineer / Full Stack Engineer in the United States to build scalable backend services, data pipelines, APIs, and cloud-native solutions using Python, Django, DRF, Nuxt/Vue, and AWS.

The role spans backend and frontend, including AWS serverless, Glue, Pandas, and Terraform, in a distributed Agile environment; applicants should have strong experience across cloud, data engineering, and modern web tech.

Qualifications

• Proven experience building Python backends with Django and Django REST Framework.
• Experience delivering RESTful APIs and data pipelines on AWS.
• Hands-on frontend with Nuxt 4 and Vue 3 is a plus.

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 transformation 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 and optimize PostgreSQL 14+ schemas, indexing, and query performance tuning.
• Develop reusable adapters for structured data entities and integrations.
• Provision and manage cloud infrastructure using AWS CDK (Python) and Terraform.
• Support containerization and deployment workflows using Docker and Amazon ECR.
• Build and maintain CI/CD pipelines with GitHub Actions, including automated testing and deployment.
• Ensure software quality through unit, regression, functional, and load testing.
• Participate in code reviews, architecture discussions, and Agile ceremonies with distributed teams.
• Follow AWS security and operational best practices, including IAM, Secrets Manager, WAF, and secure credential handling.

Skills

Python

Django

Django REST Framework

AWS

Nuxt

Vue

TypeScript

REST APIs

Pydantic

OpenAPI / Swagger

OAuth

Tools

Django

DRF

AWS

Nuxt

Vue

PostgreSQL

Redis

Terraform

Docker

GitHub Actions

Job description

Pearson is seeking a highly skilled Data Engineer / Full Stack Engineer in the United States to build scalable backend services, data pipelines, APIs, and cloud-native solutions using Python, Django, DRF, Nuxt/Vue, and AWS.

The role spans backend and frontend, including AWS serverless, Glue, Pandas, and Terraform, in a distributed Agile environment; applicants should have strong experience across cloud, data engineering, and modern web tech.