We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks.<br>• Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas.<br>• Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets.<br>• Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics.<br>• Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards.<br>• Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design.<br>• Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations.<br>• Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets.<br><br>Responsibilities:<br>• Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability.<br>• Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools.<br>• Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency.<br>• Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput.<br>• Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management.<br>• Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines.<br>• Create efficient code for data transformation and aggregation using Python and advanced query development techniques.<br>• Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases.<br>• Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
<p>The Cybersecurity Analyst will help protect enterprise systems and data through monitoring, threat detection, and incident response activities.</p><p>Responsibilities</p><ul><li>Monitor SIEM and security monitoring tools</li><li>Investigate and respond to security incidents</li><li>Perform vulnerability assessments</li><li>Support security awareness initiatives</li><li>Assist with compliance and audit efforts</li></ul><p><br></p>
We are looking for a QA Analyst to support software testing initiatives for a high-visibility enterprise program in Jacksonville, Florida. This role partners closely with development and program teams to ensure applications meet business and technical expectations through thoughtful planning, detailed validation, and clear defect reporting. The ideal candidate brings strong manual testing experience, comfort working with Oracle-based environments, and a collaborative approach to improving software quality.<br><br>Responsibilities:<br>• Assess the scope of testing activities and provide effort estimates for assignments of varying size and complexity.<br>• Examine business requirements, solution designs, and technical documentation to uncover gaps and build effective test coverage.<br>• Develop, update, and carry out structured test plans, test cases, and test scripts that verify expected system behavior.<br>• Log, monitor, and retest defects while communicating findings, risks, and progress to project stakeholders.<br>• Perform functional and regression testing across assigned application areas and summarize outcomes in a clear, organized manner.<br>• Adjust testing approaches as project needs evolve and help maintain alignment between requirements and validation efforts.<br>• Partner with automation specialists to troubleshoot issues affecting automated functional or performance test execution.<br>• Recommend enhancements to quality assurance practices, tools, and reporting to strengthen overall testing effectiveness.<br>• Provide guidance to less experienced analysts and contribute subject matter expertise on critical business applications.<br>• Support project coordination activities, including planning efforts and the configuration or improvement of testing tools used by the team.
<p>Join a growing data team focused on building enterprise-grade data pipelines and analytics platforms. You'll work with modern cloud technologies and help drive data-driven decision-making.</p><p>Responsibilities</p><ul><li>Develop and maintain ETL/ELT processes</li><li>Design dimensional data models and data warehouses</li><li>Build integrations with APIs and enterprise systems</li><li>Optimize SQL queries and data processing jobs</li><li>Support reporting and business intelligence initiatives</li><li>Maintain data quality and governance standards</li></ul><p><br></p>