Python Developer

Sr. Python Developer ***100% Remote*** Our client in the Financial Industry is seeking a Python Back End Software Engineer. Due to client r...

Sr. Python Developer
***100% Remote***

Our client in the Financial Industry is seeking a Python Back End Software Engineer.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Requirements of the Python Back End Software Engineer:

• B.S. or B.A. degree in Computer Science, Electrical and Computer Engineering, or other technical fields. Coding and Data Science boot camps coupled with other advanced degrees and proven experience are fully considered
• 7 or more years of experience with back end or full-stack software development with a focus on data and analytics
• Multiple years experience developing software solutions in Python
• Understanding of modern software development - Agile/Scrum methodology
• Experienced with Cloud platforms and technologies (Azure, AWS, GCP)
• Ability to develop and deploy complex threaded applications using Python
• Familiarity with the following Python libraries/technologies; pandas, PySpark, asyncio, Databricks, context managers
• Ability to develop, deploy and maintain transactional systems, operational databases, and data stores
• Experience as a software development engineer for large, complex, multi-disciplinary systems implementation projects
• Exemplary communication and creative thinking skills

• Evolve technology products to meet and exceed needs
• Understand and contribute to the "full-stack" of development
• Produce quality code, releases, and fixes
• Deliver technology products according to business needs
• Build resilient products and features that are easily maintainable
• Optimize application development and product quality
• Collaborate in a high performing team and an elite technology community
• Operationalize end to end data and analytics capabilities and solutions; from consultation through operations