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# Python Full Stack Developer

- **Company:** Vision Square
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** HTML, JavaScript (Programming Language), Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Unit Testing, Microsoft Azure, Big Data, Cascading Style Sheets (CSS), Cloud Computing, Code Review, Databases, Continuous Integration, Extract Transform Load (ETL), Software Debugging, Django Web Framework, Python (Programming Language), Performance Tuning, Scrum Methodology, Standard Sql, Software Engineering, Data Processing, Google Cloud, Enterprise Software Applications, ReactJS, Flask (Web Framework), Snowflake, Apache Spark, Backend, Git, Fastapi, Pytest, AngularJS, Pyspark, Kubernetes, Apache Kafka, Data Management, Front End Software Development, Restful APIs, Docker, Databricks, Microservices
- **Published:** September 29, 2026
- **Apply:** https://www.dice.com/job-detail/61c6c521-fab0-4b3f-9f55-918b66d8a611

## About the Role

* 8+ years of software development experience
 * Strong hands-on experience with Python
 * Strong PySpark / Apache Spark experience
 * Experience developing RESTful APIs using Flask, FastAPI, or Django
 * Frontend experience with React.js, Angular, JavaScript, HTML, CSS
 * Strong SQL and database experience
 * Experience with ETL/ELT and large-scale data processing
 * Experience with AWS/Azure/Google Cloud Platform cloud platforms
 * Strong knowledge of Git and CI/CD
 * Experience with Agile/Scrum methodology
 * Strong debugging, troubleshooting, and performance-tuning skills

Preferred Skills:

 * Databricks
 * Kafka
 * AWS services such as S3, Glue, Lambda, EMR
 * Docker/Kubernetes
 * Snowflake
 * Airflow
 * Microservices architecture
 * Unit testing with PyTest
 * Financial/banking domain experience

## Description

We are looking for a highly experienced Senior Python Full Stack Developer with strong PySpark expertise to design, develop, and maintain scalable enterprise applications and data-processing solutions. The ideal candidate should have strong hands-on experience with Python, PySpark, REST APIs, frontend technologies, databases, and cloud/data platforms., * Develop scalable applications using Python and PySpark.

 * Build and maintain REST APIs and backend services.
 * Develop and integrate frontend applications.
 * Design and optimize data-processing and ETL pipelines.
 * Work with large datasets using Spark/PySpark.
 * Collaborate with architects, developers, QA, and business teams.
 * Perform code reviews, testing, debugging, and performance optimization.
 * Participate in Agile ceremonies and production support activities.


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