SAS Data Engineer

Design, build, and prepare data pipelines and data models within the SAS software environment to ensure reliable, high-quality data for analytics and reporting. Responsibilities: - Develop and maintain data pipelines using SAS (Base SAS, SAS Data Management, SAS DI). - Extract, transform, and load (ETL) data from multiple sources into SAS platforms. - Design and optimize data models to support analytics and reporting use cases. - Ensure data quality, accuracy, and consistency across datasets. - Optimize data processing performance and resolve data issues. - Collaborate with analytics, BI, and business teams to support data requirements. - Document data processes, workflows, and technical solutions. Requirements: - Bachelor’s degree in Computer Science, Information Systems, or related field. - 5+ years of experience working as a SAS Data Engineer or similar role. - Strong hands-on experience with the SAS platform. - Solid understanding of ETL, data warehousing, and data modeling concepts. - Experience working with databases and large datasets. Preferred Skills: - Experience with SAS Viya - Knowledge of SQL and relational databases - Experience with data warehousing concepts - Familiarity with cloud-based data platforms - Understanding of data governance and security - Experience in banking or regulated environments - SAS certifications (preferred) Key Competencies: - SAS Data Engineering - ETL & Data Integration - Data Modeling - Data Quality Management - Performance Optimization - Analytical Thinking - Collaboration & Communication