Engineering Assistant

RailTEC is seeking a Graduate Hourly Assistant to support ongoing data engineering, analytics, and research initiatives related to railroad infrastructure and transportation systems. This role involves working with large, structured datasets and assisting in the development of data pipelines, analytical workflows, and internal tools that support research, reporting, and operational insights. The assistant will collaborate with researchers and engineers to prepare, process, and analyze data using programming, database, cloud-based, and machine learning techniques. Tasks may include data cleaning, feature preparation, exploratory analysis, dashboard support, model development, and general technical troubleshooting. This position is well-suited for a graduate student looking to gain hands-on experience in applied data engineering and analytics. Key Responsibilities: -Assist with processing, organizing, and validating large datasets from multiple sources -Write and optimize SQL queries for data extraction, aggregation, and analysis -Support Python-based data workflows for analysis, transformation, automation, and modeling -Assist with feature engineering and exploratory analysis for machine learning tasks -Help maintain and document data pipelines, models, and analytical processes -Assist with cloud-based data storage, access management, and data transfers -Support the development and maintenance of dashboards or analytical reports -Collaborate with team members to troubleshoot data, code, model, or workflow issues