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

Pearson

Little Rock (AR)

In loco

USD 80.000 - 90.000

Tempo pieno

5 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura fatta su misura per questo lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

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Descrizione del lavoro

Pearson is hiring a Data Engineer / Full Stack Engineer to architect and maintain scalable backend services in Python/Django and modern frontend with Nuxt/Vue. You’ll work with AWS serverless, data pipelines, and API integrations across enterprise platforms in an Agile, distributed team.

The role emphasizes security, quality, and scalable data workflows. The ideal candidate combines backend and frontend capabilities with strong data engineering experience, including AWS Glue, Pandas, and NumPy,

Competenze

  • Proficient Python backend development with Django and DRF, building scalable APIs and data pipelines.
  • Experience designing RESTful APIs with OpenAPI/Swagger documentation.
  • Strong data validation and API modeling using Pydantic.
  • Auth mechanisms including django-rest-knox, OAuth, and Azure AD integrations.

Mansioni

  • Design, develop, and maintain scalable backend services using Python, Django, and DRF.
  • Build RESTful APIs and document with OpenAPI/Swagger.
  • Implement data validation and API response modeling with Pydantic.
  • Develop secure authentication and authorization using django-rest-knox, OAuth, and MSAL/Azure AD.

Conoscenze

Python
Django
Django REST Framework
Nuxt/Vue
AWS
OpenAPI/Swagger
Pydantic
OAuth
Azure AD
PostgreSQL
ETL/ELT
Data Pipelines
RESTful APIs
Serverless

Strumenti

Docker
GitHub Actions
Terraform
AWS CDK (Python)
AWS Lambda
SQS/SNS/EventBridge
Redis/ElastiCache
MongoDB?
PostgreSQL
Mangum
OpenAPI/Swagger tooling
Pandas
NumPy

Descrizione del lavoro

Pearson is hiring a Data Engineer / Full Stack Engineer to architect and maintain scalable backend services in Python/Django and modern frontend with Nuxt/Vue. You’ll work with AWS serverless, data pipelines, and API integrations across enterprise platforms in an Agile, distributed team.

The role emphasizes security, quality, and scalable data workflows. The ideal candidate combines backend and frontend capabilities with strong data engineering experience, including AWS Glue, Pandas, and NumPy,

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