SAS ETL Developer
neshent technologiesDenver, CO
SAS ETL Developer
L6
neshent technologiesDenver, COtoday
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.
Apply now (opens in a new tab)
Level
LeadL6
Location
Denver, CO
Occupation
Data Warehousing Specialists
Industry
Computer Systems Design Services
Posted
today
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