The Data Engineer is responsible for building and maintaining systems that improve data reliability, quality, and accessibility. This role focuses on developing software and data pipelines that extract, transform, and load (ETL) large volumes of data from multiple sources into consistent, machine-readable formats. Data Engineers design and test architectures that support data extraction and transformation for predictive and prescriptive analytics. Working within an agile Scrum environment, the Data Engineer participates in two-week sprint cycles, contributing to sprint planning, development, and review processes to continuously improve data infrastructure and product capabilities.