Kforce has a client that is seeking a Senior Data Engineer in Laurel, MD. Key Tasks: * Create and optimize complex data pipelines using Azure Data Factory, Synapse Analytics, and other Azure tools to extract, transform, and load data efficiently * Implement and maintain Azure Data Lake solutions to store large volumes of structured and unstructured data, ensuring scalability, performance, and security * Integrate data from various sources, including relational databases, NoSQL databases, APIs, and flat files, into the Azure environment for analysis and reporting * Design and develop robust data architectures, optimizing for performance and scalability in Azure Synapse Analytics and Azure Data Lake environments * Develop efficient ETL/ELT processes using Azure Data Factory or other Azure tools to ensure timely and accurate data loading and transformation * Ensure data pipelines run smoothly by monitoring, troubleshooting, and resolving issues to minimize downtime and data inconsistencies * Continuously optimize data pipelines and query performance, especially within Azure Synapse to handle large data sets and complex transformations efficiently * Work closely with data scientists, analysts, and business teams to understand data requirements and deliver scalable data solutions that support analytics needs * Implement and enforce security best practices, ensuring data lakes, pipelines, and analytics solutions comply with Azure security standards and data governance policies * Design and implement logical and physical data models that support high performance querying and reporting within Azure Synapse