Our client is seeking a Senior Data Engineer to lead the migration of complex SAS codebases to Python as part of a large-scale data modernization initiative. This hands-on role focuses on converting legacy logic into scalable, high-performance Python solutions within a financial data environment. The ideal candidate brings deep SAS and Python expertise, strong data engineering fundamentals, and experience modernizing enterprise data pipelines.
Responsibilities & Qualifications
- Analyze, document, and migrate complex SAS scripts into Python
- Design and implement efficient, maintainable Python solutions
- Leverage GitHub and AI-assisted tools to accelerate and standardize code conversion
- Collaborate with business and technology teams to validate requirements and outputs
- Develop automated testing strategies to ensure accuracy and data integrity
- Support and enhance ETL pipelines and data warehouse environments
- Document migration approaches, standards, and processes
Requirements
- 5+ years of hands-on SAS programming experience
- 4+ years of professional Python development experience
- Proven experience migrating or rewriting SAS code into Python
- Strong SQL and data engineering experience; Snowflake, DB2, or similar platforms preferred
- Experience with ETL processes, data governance, and large-scale data environments
- Familiarity with GitHub and version control best practices
- Mortgage or financial services experience preferred
- AWS cloud experience is a plus
- Strong analytical, communication, and problem-solving skills