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Senior Python Developer

Summary

Senior Python developer builds and maintains backend systems, APIs, and microservices for financial data processing in a hybrid Charlotte role using Python, databases, and cloud tools.

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Marici Solutions, is seeking the following. Apply via Dice today!

Job Title: Senior Python Developer

Location: Charlotte, NC (Hybrid)

Employment Type: Full-Time 9 Years of IT exp

Job Summary:

We are looking for a highly skilled Senior Python Developer with over 9 years of experience in software development to support critical initiatives. The ideal candidate will have deep expertise in Python programming, experience in building scalable enterprise applications, and familiarity with the financial services industry.

Key Responsibilities:

  • Develop and maintain high-performance backend systems using Python.
  • Design and implement RESTful APIs and microservices.
  • Collaborate closely with business analysts, QA engineers, and front-end developers to deliver high-quality solutions.
  • Work within Agile/Scrum methodologies, participate in sprint planning and daily stand-ups.
  • Support capital markets or financial data processing applications.
  • Troubleshoot and resolve complex technical issues in production and non-production environments.

Required Skills:

  • 9+ years of hands-on experience with Python (including frameworks like Flask, Django, or FastAPI).
  • Strong understanding of OOP, design patterns, and software development best practices.
  • Experience with relational databases (PostgreSQL, Oracle, or SQL Server).
  • Proficiency with data processing, ETL pipelines, and API integration.
  • Familiarity with messaging systems (Kafka, RabbitMQ, or similar).
  • Solid understanding of Git, CI/CD pipelines (e.g., Jenkins), and containerization (Docker).
  • Strong problem-solving and debugging skills.

Preferred Qualifications:

  • Experience working with large financial institutions
  • Exposure to Capital Markets, Risk, Compliance, or Trade Processing systems.
  • Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) is a plus.
  • Understanding of Pandas, NumPy, and other scientific computing libraries.

Education:

  • Bachelor s degree in Computer Science, Engineering, Mathematics, or a related field (Master s preferred).

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology

  • Industries

    Software Development

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