Software Engineer III

We are seeking a highly skilled Data Engineer / Full Stack Engineer with strong experience in Python-based backend development, modern frontend frameworks, data engineering, and AWS cloud services . This role will be responsible for building and maintaining scalable applications, data pipelines, APIs, and cloud-native services that support enterprise platforms and automation ecosystems.

The ideal candidate will have hands-on expertise in Django/DRF , Nuxt/Vue , AWS serverless and infrastructure services , and data transformation frameworks including AWS Glue . This individual should be comfortable working across backend systems, frontend applications, cloud infrastructure, and data engineering workflows in a distributed Agile environment.

Python, Django, Django REST Framework (DRF)

Pydantic for data validation and API response modeling

RESTful API design with DRF (OpenAPI/Swagger documentation)

Token-based authentication using django-rest-knox

Asynchronous processing with AWS SQS message queues and Lambda event sources

Serverless architecture using AWS Lambda with Mangum (ASGI adapter)

Redis for caching and session management

PostgreSQL 14+ (relational database design, query optimization)

Pandas/NumPy for data processing and transformation pipelines

OAuth/MSAL integration (Azure AD via django-auth-adfs, MSAL)

Modular adapter patterns for structured data entities

Nuxt 4 (Vue 3, TypeScript), Server-Side Rendering

Pinia for state management

Tailwind CSS 4 and Nuxt UI 3 component library

Azure MSAL Browser for frontend authentication

Vitest for unit testing, Playwright for E2E testing

Data engineering experience with batch and event-driven data pipelines

Hands-on experience with AWS Glue

Strong background in data transformation, cleansing, normalization, and validation

Experience building ETL/ELT workflows for analytics and operational use cases

Ability to work with structured and semi-structured datasets across cloud platforms

AWS CDK (Python) and Terraform for Infrastructure as Code

AWS services: Lambda, SQS, SNS, S3, RDS (PostgreSQL), ElastiCache (Redis), CloudFront, ALB, ECR, VPC networking, WAFv2, Route 53, EventBridge

Docker containerization and ECR image management

CI/CD with GitHub Actions (automated deployments, test suites)

pytest / pytest-django for backend testing

Vitest / Vue Test Utils for frontend testing

Functional, regression, and load testing within automation-driven ecosystems

Test coverage tooling and quality gates (e.g., SonarQube)

Git/GitHub workflows and code review practices

Experience working in distributed Agile teams

Event-driven design patterns

Familiarity with cloud-based infrastructure and serverless patterns

The ideal candidate is a technically strong engineer who can work across application development, cloud architecture, and data engineering . They are comfortable building APIs, frontend interfaces, serverless systems, and data transformation pipelines , while maintaining strong standards for scalability, security, and software quality.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:

The minimum full-time salary range is between $80,000 - $90,000

This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

Applications will be accepted through 17th August 2026. This window may be extended depending on business needs.

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At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing [email protected].

Job: Engineering

Job Family: TECHNOLOGY

Organization: Assessment & Qualifications