Sas Software Engineer Jobs in Raleigh, NC (NOW HIRING)

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About the job

The Data Acceleration team ensures SAS analytics run faster and more securely by harnessing DBMS pushdown, parallelism, open file formats, and in or neardatabase execution. We build the underlying engines that power Viya’s performance and scalability — including support for Parquet, cloud object storage, and highthroughput data movement.  We collaborate deeply with Advanced Analytics, Visual Analytics, and platform teams to keep Viya competitive, fast, and reliable for our customers. 

As a Software Development Engineer in Test (Emerging Career), you will help engineer quality at every layer of the software development lifecycle. You’ll build reliable test automation, protect customers from escaped defects, and help maintain a healthy continuous delivery pipeline. You will also collaborate across development, product, operations, and support teams to make quality a core design principle — especially as we deliver performancecritical features for Data Acceleration. 

This role combines handson test development with engineering judgment, metrics-driven decision making, and a deep understanding of CI/CD, cloud environments, and modern quality engineering practices. 

As a Software Development Engineer in Test (Emerging Careers), you will:

• Partner with developers to validate technical designs, uncover edge cases, and ensure quality upfront. 
• Design, implement, and maintain highquality automated tests across all layers of the stack, ensuring robust coverage for complex distributed dataprocessing features both inside and outside the CI/CD pipeline. 
• Expand and sustain test coverage for performancecritical Data Acceleration components, including DBMS pushdown and indatabase execution, parallel and concurrent compute paths, Parquet/Iceberg and cloudobjectstore integrations, and data loading, ingestion, and transformation correctness. 
• Produce and analyze quality metrics that highlight application health and guide engineering decisions. 
• Promptly triage test failures with precision and accuracy, maintaining the health of our build pipeline and reducing noise for developers. 
• Engage in code reviews for product code, test code, and infrastructure-as-code related to testing and automation. 
• Protect customers from escaped defects, participate in escalations when needed, and keep Customer Experience (CX) at the forefront of decisions. 
• Understand deployment, migration, security, and performance considerations within a modern continuous delivery lifecycle. 
• Practice effective techniques for deploying and operating SAS software in multicloud environments.
• Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

Required qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
• 0-2 years of professional software development or test automation experience
• Proficiency in at least one major programming language (Python). 
• Previous SAS software development or testing experience 
• Demonstrated experience building automated tests or extending test frameworks. 
• Solid analytical, debugging, and troubleshooting skills — especially in distributed systems. 
• Ability to work independently, prioritize effectively, and communicate technical reasoning clearly. 
• Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

Additional competencies, knowledge and skills

• Communication: Excellent communication skills with ability to explain complex technical concepts to both technical and non-technical audiences
• Technology Savvy: Stay current with emerging security threats, vulnerabilities, and industry best practices, applying this knowledge to strengthen our platforms
• Collaboration: Ability to work independently as part of a team while mentoring younger team members
• Experience with SQL and/or database systems; comfortable validating pushdown behavior or query execution. 
• Experience with Parquet/Arrow/Iceberg or cloud object stores (Azure Data Lake, S3, GCS). 
• Background in performance, concurrency, or load testing. 
• Experience with Kubernetes, containers, or cloud-native test environments. 
• Familiarity with SAS or Viya platforms is a plus.