Role: Python Developer With SAS Location: Remote Job Type: Contract Tax Term: W-2/1099 About us: Conglomerate IT is certified and a pioneer in providing premium end-to-end global workforce solutions and IT services to diverse clients across various domains. Visit us at https://www.conglomerateit.com/ Conglomerate IT's mission is to establish global cross-cultural human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of global networks to connect businesses with the right people without bias. We provide Global Workforce Solutions with affability. Job Description: We’re looking for a skilled Python developer with proven experience in converting legacy SAS codebases into Python. This role plays a key part in transforming existing analytics pipelines by increasing their scalability, efficiency, and maintainability on modern platforms. Responsibilities: • Review and interpret existing SAS Base and Macro programs, along with associated workflows. • Ensure functional parity by thoroughly validating Python outputs against original SAS results. • Collaborate with stakeholders, including data engineers and analysts, to capture and translate business logic accurately. • Refactor and fine-tune Python scripts for performance, readability, and scalability. • Build automated test routines to validate the reliability and correctness of migrated code. • Re-engineer SAS logic into Python using tools and libraries such as Pandas, NumPy, SQLAlchemy, and PySpark • Maintain detailed documentation for legacy SAS components and newly built Python equivalents. Skills & Experience Required: • Deep understanding of SAS Base and Macros, including reading and interpreting complex codebases. • Practical experience in SAS-to-Python migration in real-world production settings. • Proficiency in Python data libraries such as Pandas, NumPy, and SQLAlchemy. • 5+ years of experience working with Python, especially for data-focused applications. • Strong SQL knowledge and familiarity with ETL workflows and data warehousing concepts. • Hands-on experience with cloud platforms like AWS, Azure, or GCP. • Comfortable using Jupyter Notebooks, Git, and version control methodologies. • Strong analytical mindset and attention to detail. Preferred Experience: • Hands-on with PySpark or other distributed processing tools. • Understanding of reporting via Tableau, Power BI, or similar BI platforms. • Exposure to CI/CD pipelines and modern DevOps tools is advantageous.