Senior Python & SAS Developer (Data Modernization)

Job Description

Job Description

Description:

This is a 1099 contract role to start, with the potential to convert to full-time employment in the new fiscal year.

About the Role:

We are seeking a Senior Python & SAS Developer to support the modernization of federal statistical and survey processing systems. This role focuses on transforming legacy SAS-based workflows into scalable, open-source solutions using Python (including PySpark) and modern data architecture patterns.

You will play a key role in re-engineering backend processes, optimizing database logic, and supporting both legacy SAS systems and modern cloud-based, serverless applications.

Key Responsibilities:

• Modernize legacy SAS-based processes into Python-based solutions (PySpark or R where applicable)
• Refactor and re-architect applications into supporting cloud-based and serverless data processing workflows
• Translate procedural logic, stored procedures, and functions into optimized PostgreSQL (PL/pgSQL)
• Develop, maintain, and support existing SAS (Base SAS) workflows
• Work within a Linux-based environment for development and deployment
• Collaborate with stakeholders to interpret requirements and translate them into technical solutions
• Write, test, and deploy production-ready code; participate in code reviews
• Use Git for version control and contribute to team development standards
• Support backend workflows, job processing, and system performance tuning

• 4+ years Python development, including data processing or backend systems
• 2+ years Hands-on experience with Base SAS in production environments
• 4+ years experience developing and refactoring stored procedures, functions, and database logic in Oracle PL/SQL and/or PostgreSQL (PL/pgSQL)
• 4+ years working in Linux environments
• Experience modernizing legacy systems into open-source or cloud-based architectures
• Experience with serverless or containerized environments (AWS Lambda, Docker, Kubernetes, etc.)
• 2+ years AWS experience (Lambda, SQS, SNS, IAM or similar services)
• Experience working with batch processing, ETL pipelines, or data workflow orchestration
• Strong SQL skills and experience optimizing database performance
• Ability to translate legacy logic into scalable, maintainable solutions
• Strong communication skills in a remote environment
• Must be a U.S. Citizen (federal contract requirement)