Senior Data Engineer

Senior Data Engineer - On-site - South Charlotte TEAM YOU WILL BE JOINING • Enterprise Data Analytics team responsible for enabling data-driven decision making across the organization. • Team collaborates closely with IT, data scientists, business stakeholders, and governance teams to deliver scalable analytics solutions. • Operates within a hybrid data ecosystem leveraging Azure cloud, Oracle technologies, and on-premise infrastructure. • Focused on building modern data pipelines, enterprise data products, and analytics capabilities that power business intelligence and advanced analytics initiatives. WHAT THEY OFFER YOU • Opportunity to design and build modern enterprise data platforms in a hybrid cloud environment. • High visibility role partnering with business leaders, architects, and analytics teams to drive strategic decisions. • Exposure to modern data tools including Azure Synapse, Data Lakes, Azure ML, SQL Server, SSIS/SSAS, and Power BI. • Collaborative environment where engineers influence data architecture, governance, and analytics strategy. WHAT YOU WILL DO • Design, build, and maintain scalable ETL/ELT data pipelines across cloud and on-premise environments. • Develop and manage data models, data structures, and integrated datasets supporting analytics and reporting. • Partner with business stakeholders to translate data needs into technical solutions that enable data-driven decisions. • Improve data accessibility, quality, and governance across enterprise data assets. • Support data science initiatives by preparing datasets and integrating analytics outputs into business processes. • Research and evaluate modern data technologies and ingestion frameworks to enhance analytics capabilities. • Act as a data evangelist, promoting best practices and helping teams leverage data for operational and strategic insights. HOW YOU WILL QUALIFY • 5+ years of experience in data engineering, data integration, or data platform development. • Strong experience building ETL/ELT pipelines and data architectures supporting large-scale datasets. • Hands-on expertise with SQL and Python for data transformation and analysis. • Experience with Azure data ecosystem including Synapse, Data Lakes, Azure ML, or similar tools. • Familiarity with SQL Server, SSIS, SSAS, and Power BI for data modeling and analytics delivery. • Experience working with large, heterogeneous datasets and data integration technologies such as APIs, CDC, or messaging frameworks. • Ability to collaborate with technical teams and business stakeholders to deliver data-driven solutions. • Bachelor’s degree in Computer Science, Information Systems, Data Management, or related quantitative field.