
This junior data engineering role supports the development of scalable data pipelines within a cloud-based environment based in Wilmington, Delaware. The position operates on a hybrid schedule requiring three days onsite and involves designing ETL and streaming workflows using Spark and Python. Key responsibilities include building data processing solutions on AWS services, contributing to a Databricks migration, and collaborating with teams to support fraud analytics initiatives. The role appeals to candidates seeking hands-on experience with big data technologies in a fast-paced, collaborative setting. While the listing mentions a contract duration, the position offers an opportunity to work on critical infrastructure projects and gain expertise in distributed data processing.












