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.