Diversified Services Network, Inc. (DSN) is seeking a full-time Data Engineer to join our team in Peoria, IL. This role focuses on building data pipelines, performing ETL/ELT, and delivering BI solutions to support supply chain planning and long-term forecasting. Responsibilities: Develop, test, and deliver business intelligence solutions, tools, and services for supply chain and capacity planning; Gather and document business requirements, create functional specifications, validate tests, and support successful implementations; Serve as data/reporting owner for key business processes, responding to inquiries from internal stakeholders and business partners; Support daily production and reporting across multiple business and technical platforms; Develop, maintain, and enhance Power BI reports, dashboards, and analytics solutions; Troubleshoot complex system and data issues, identify root causes, and implement high-quality solutions; Lead or contribute to medium- and large-scale projects, collaborating with cross-functional business and IT teams. Education & Experience: Bachelor’s degree required; Master’s degree preferred. Candidates with an Associate’s degree and 5+ years of relevant experience will also be considered; 2+ years of relevant professional experience; Comparable backgrounds such as Data Scientist or Data Analyst are welcomed. Core Competencies & Technical Skills: Data Engineering & Modeling: ETL/ELT, data pipeline design, data warehousing, and data quality management; Programming & Advanced Analytics: Python and SQL; machine learning algorithms; feature engine

Diversified Services Network, Inc. (DSN) is seeking a full-time Data Engineer to join our team in Peoria, IL. This role focuses on building data pipelines, performing ETL/ELT, and delivering BI solutions to support supply chain planning and long-term forecasting. Responsibilities: Develop, test, and deliver business intelligence solutions, tools, and services for supply chain and capacity planning; Gather and document business requirements, create functional specifications, validate tests, and support successful implementations; Serve as data/reporting owner for key business processes, responding to inquiries from internal stakeholders and business partners; Support daily production and reporting across multiple business and technical platforms; Develop, maintain, and enhance Power BI reports, dashboards, and analytics solutions; Troubleshoot complex system and data issues, identify root causes, and implement high-quality solutions; Lead or contribute to medium- and large-scale projects, collaborating with cross-functional business and IT teams. Education & Experience: Bachelor’s degree required; Master’s degree preferred. Candidates with an Associate’s degree and 5+ years of relevant experience will also be considered; 2+ years of relevant professional experience; Comparable backgrounds such as Data Scientist or Data Analyst are welcomed. Core Competencies & Technical Skills: Data Engineering & Modeling: ETL/ELT, data pipeline design, data warehousing, and data quality management; Programming & Advanced Analytics: Python and SQL; machine learning algorithms; feature engine