Python Engineer with R programming

We are seeking a skilled and experienced Software Engineer contractor to join our team for a critical code refactoring project.

This role will focus on facilitating the migration of our tech stack from R to Python, rebuilding key analytical tools to accelerate adoption and simplify the productionization process.

What You’ll Do in This Role:

• Refactor and simplify the productionization pipeline for our analytical tools to improve efficiency, reduce complexity, and drive broader adoption within the organization.
• Analyze and understand the existing R codebase and its functionality to ensure a faithful and improved migration to Python.
• Translate complex logic and algorithms from R into clean, efficient, and well-documented Python code.
• Design, develop, and implement new, fully integrated end-to-end data and modeling pipelines using Python and modern system design best practices.
• Write comprehensive unit, integration, and regression tests to ensure the reliability, accuracy, and performance of the new Python codebase.
• Engage in rigorous code reviews with peers to maintain high standards of code quality, readability, and maintainability.
• Create and maintain clear technical documentation for the new systems and processes to ensure a smooth handover to the full-time team.
• Identify, diagnose, and resolve bugs and performance bottlenecks in the new Python applications and data pipelines.

Qualifications:

• Bachelor’s Degree in Software Engineering or Quantitative field (Software Engineering, Data Engineering, Math, Stats, Data Science)
• Strong proficiency in Python is required
• Familiarity with R and SQL is required
• At least 4 years of professional programming experience in Python
• Experience designing and building data-intensive solutions.
• Experience with Kubernetes/KFP, distributed compute/Dask Operator, and Web API development is a plus.

Top Skills:

• 4+ years of experience with Python is a must.
• SQL experience is a must
• Kubernetes experience is a must.
• R programming is a must (packages like dplyr and purr)