Additional duties include: Utilize a variety of languages and tools (e.g., scripting languages) to build data pipelines to pull together information from different source systems, Collaborate with data architects, modelers, and IT team members on project goals; ensure systems meet Agency requirements and industry practices, design, construct, install, test, and maintain highly scalable data management systems and develop data set processes for data discovery, modeling, mining, and production. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience in experience in designing, implementing, and maintaining scalable data pipelines, ETL processes, and data integration solutions, or in a related field that demonstrates the ability to successfully perform the duties associated with this work.