We are looking for a detail-oriented Data Entry Clerk I to support a local government team in Baltimore, Maryland. This Long-term Contract opportunity is well suited for someone who can accurately manage high volumes of information while providing dependable support in a fast-paced service environment. The role may also involve assisting with customer inquiries and call-related tasks as operational needs require.<br><br>Responsibilities:<br>• Enter, update, and maintain records in databases and internal systems with a high level of accuracy.<br>• Review source documents for completeness and correct discrepancies before submitting information.<br>• Process large volumes of data within established timelines while following department procedures.<br>• Respond to inbound inquiries or assist with customer service activities when needed by the team.<br>• Verify entered information through routine quality checks to ensure data integrity and consistency.<br>• Organize digital and paper files so information can be retrieved quickly and efficiently.<br>• Communicate with supervisors and staff regarding missing details, record issues, or workflow updates.<br>• Support changes in assignment priorities, including shifts between administrative and service-related duties, as requested.
<p>Data Engineer – Databricks / Azure / AI Analytics</p><p><br></p><p>You must be able to obtain and maintain a public trust clearance,</p><p><br></p><p>Position Overview</p><p>We are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.</p><p>The ideal candidate brings hands-on expertise in Databricks engineering, cloud data pipelines, and data integration, along with strong collaboration skills to translate business requirements into technical solutions. This position offers the opportunity to work on large-scale data platforms and support advanced analytics and AI-driven workloads.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design, build, and optimize data pipelines using Databricks and Spark</li><li>Implement Medallion architecture and scalable data processing workflows</li><li>Develop ingestion pipelines for structured, streaming, and unstructured datasets</li></ul><p>Cloud & Platform Integration</p><ul><li>Work with Azure services (Data Factory, Storage, Functions, Log Analytics)</li><li>Integrate data across multiple sources to enable high-quality analytics</li><li>Support hybrid cloud initiatives and evolving data platforms</li></ul><p>Data Management & Optimization</p><ul><li>Ensure data quality, integrity, and accessibility across systems</li><li>Monitor pipeline performance and optimize cost, scalability, and efficiency</li><li>Support data governance, cataloging, and compliance standards</li></ul><p>Platform Operations & Support</p><ul><li>Troubleshoot performance issues, cluster stability, and configuration management</li><li>Support end-user requests and provide front-line platform support</li><li>Implement monitoring, logging, and alerting solutions</li></ul><p>DevOps & Automation</p><ul><li>Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)</li><li>Automate deployment and data workflows for improved efficiency</li><li>Support continuous delivery within Agile environments</li></ul>