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:

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.