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