Python Developer (SAS Background Preferred)

We are seeking an experienced Python Developer with a strong understanding of SAS-based data workflows and deep hands-on expertise in Python. This is a hands-on contributor role (not a leadership position) focused on building, optimizing, and maintaining data processing solutions.

Required Experience & Skills

Core Python Development

• Several years of professional experience developing production-grade Python code.
• Strong proficiency with Python data libraries such as pandas, NumPy, and related ecosystems.
• Comfortable working independently on complex data processing tasks.

Advanced Data Manipulation

• Expertise in merging and joining large datasets efficiently using merge(), join(), and related techniques.
• Strong understanding of data alignment, indexing strategies, and memory-efficient transformations.
• Experience handling complex data structures and edge cases during large-scale data integration.

Scalability & Performance

• Experience processing large or out-of-memory datasets, including:
• Parallel or distributed processing (e.g., multiprocessing, Dask, Spark, or similar).
• Performance tuning to replace or improve upon SAS I/O and batch optimizations.
• Ability to profile code and identify bottlenecks in data pipelines.

Automation & DevOps

• Experience automating data workflows and jobs using Python.
• Familiarity with scheduling, CI/CD pipelines, and environment management.
• Comfortable working in Linux-based environments and with version control systems (e.g., Git).

Testing & Validation

• Strong understanding of testing strategies for data and analytics code.
• Experience writing unit tests, integration tests, and validation checks to ensure data accuracy and consistency.
• Ability to validate Python-based outputs against legacy SAS results when required.

Jupyter & Collaboration

• Hands-on experience working in Jupyter Notebooks for development, analysis, and documentation.
• Ability to write clear, reproducible notebooks that communicate logic and results effectively.

Nice to Have

• Prior experience translating or modernizing SAS workflows into Python-based solutions.
• Exposure to cloud platforms or distributed data environments.