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# Python Engineer

- **Company:** Motion Recruitment Partners LLC.
- **Location:** Newport Beach, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** HTML, Amazon Web Services, Amazon S3, Big Data, Markup Languages, Github, Design of User Interfaces, Python (Programming Language), PostgreSQL, Redis, Cloud Services, SQL Databases, Extensible Markup Language (XML), Data Processing, Flask (Web Framework), Caching, Git, Fastapi, Pandas, Functional Programming, Cloudwatch, Restful APIs, Docker, Jenkins
- **Published:** September 13, 2026
- **Apply:** https://www.dice.com/job-detail/dc5d9e1f-a2e9-491c-979d-e41bde756431

## About the Role

* 7+ years of experience with core Python programming.
 * Proficiency in pandas for data manipulation.
 * SQL experience with PostgreSQL.
 * Experience in REST API development.
 * Knowledge of markup languages (HTML/XML).
 * Basic understanding of Redis or caching.
 * Familiarity with Git and CI/CD tools.

Nice to Have:

 * Experience within the financial industry and fixed income or bnds is a huge plus but not a ust have
 * AWS experience (Lambda, S3, CloudWatch).
 * Experience with CI/CD pipelines (Jenkins, GitHub Actions).
 * Docker experience.
 * Experience in financial data or client reporting.

## Description

As a Sr. Python Engineer , you will designing a client reporting platform that seamlessly integrate fixed income analytic models, large datasets, and proprietary research. These tools support real-time portfolio decisions and risk monitoring, with an emphasis on intuitive UI/UX and efficient integration across internal and external systems, * Build and maintain reporting templates using Python, pandas, and SQL..

 * Write and optimize SQL queries for PostgreSQL.
 * Design RESTful APIs with FastAPI/Flask.
 * Implement caching using Redis.
 * Manage CI/CD pipelines (e.g., GitHub Actions).
 * Utilize AWS services (Lambda, S3) for orchestration.
 * Troubleshoot and optimize cloud services performance.
 * Collaborate with cross-functional teams.