SAS ETL Developer

Key Responsibilities

• Design, develop, implement, and maintain enterprise ETL processes using SAS technologies.
• Perform hands-on SAS development using Base SAS, DATA Step, PROC SQL, SAS Macros, and SQL Pass-Through.
• Develop and maintain scalable data integration solutions supporting enterprise data warehouse environments.
• Leverage SAS Viya for data processing, integration, and development activities.
• Design, build, and optimize complex ETL workflows for large-scale production environments.
• Troubleshoot, debug, and resolve issues related to production ETL jobs and data processing pipelines.
• Perform performance tuning and optimization of SAS programs, SQL queries, and large-scale data processing workflows.
• Work with relational databases and enterprise data warehouse platforms to support data extraction, transformation, and loading.
• Contribute to relational data modeling, data warehouse design, and ETL architecture.
• Ensure data quality, accuracy, consistency, and reliability across enterprise data integration processes.
• Collaborate with data engineers, database administrators, architects, and business stakeholders to deliver effective data solutions.
• Develop and maintain technical documentation for ETL processes, data flows, and integration solutions.

Required Qualifications

• Strong hands-on experience in SAS development, particularly enterprise ETL development.
• Extensive experience with Base SAS, SAS DATA Step, PROC SQL, SAS Macro Programming, and SQL Pass-Through.
• Hands-on experience with SAS Viya.
• Strong experience developing and maintaining ETL processes and enterprise data warehouse solutions.
• Proven experience troubleshooting and optimizing large-scale production ETL processes.
• Strong SQL programming and relational database experience.
• Experience with relational data modeling and enterprise data warehouse design.
• Understanding of ETL architecture, data integration patterns, and data processing workflows.
• Ability to analyze complex data processing issues and implement performance optimization solutions.

Preferred Qualifications

• Experience in healthcare payer data environments.
• Knowledge of Medicaid and government healthcare data.
• Experience working with large-scale healthcare datasets and enterprise data warehouses.
• Experience supporting complex production data integration environments.
• Strong analytical, problem-solving, communication, and collaboration skills.

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