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.

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

Requirements

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.