Senior SAS Developer Only USC and GC

Role: Senior SAS Developer Location: Remote – USA Job Type: 12 Months Contract Skills: Skills required in the following tools/applications/technologies. SAS Viya, API, Analytics, Python, Release Management Additional skills: Strong financial services background, coaching users, sustain Key Responsibilities: • Design, develop, and optimize SAS programs for data extraction, transformation, and loading (ETL) from multiple data sources. • Create and maintain automated SAS reports, dashboards, and data models for business and regulatory reporting. • Work closely with data analysts, business users, and IT teams to translate business requirements into technical specifications. • Perform data validation, quality checks, and error handling to ensure accuracy and integrity. • Optimize SAS jobs for performance, scalability, and efficiency in batch and real-time environments. • Manage and maintain SAS environments including libraries, metadata, and version control. • Support migration of SAS programs to newer platforms or cloud environments when applicable. • Ensure compliance with data governance, privacy, and security standards. • Mentor junior SAS developers and review code for best practices. Required Skills and Qualifications: • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. • 7+ years of hands-on experience with SAS Base, SAS Macro, SAS SQL, and SAS Enterprise Guide. • Experience with SAS Data Integration Studio and SAS Visual Analytics (preferred). • Strong understanding of data warehousing concepts, ETL design, and relational databases (e.g., Oracle, SQL Server, Teradata). • Expertise in writing complex SQL queries and integrating SAS with external databases. • Familiarity with Unix/Linux scripting, scheduling tools (e.g., Control-M, Autosys), and version control (e.g., Git). • Excellent problem-solving, debugging, and analytical skills. • Strong communication and documentation abilities. Preferred Qualifications: • Experience in financial services, healthcare, or government domains. • Exposure to Python, R, or cloud-based analytics platforms (AWS, Azure, or GCP). • Knowledge of data visualization tools such as Power BI or Tableau.