We are looking for an Artificial Intelligence (AI) Engineer to create practical solutions that improve how teams work, analyze information, and make decisions. This position is based in Jupiter, Florida, and focuses on designing intelligent applications, workflow automations, and data-driven tools that support business and financial operations. You will collaborate with stakeholders across the organization to translate open-ended challenges into reliable, scalable products built with modern engineering and cloud technologies.<br><br>Responsibilities:<br>• Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities.<br>• Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency.<br>• Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights.<br>• Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support.<br>• Automate recurring deliverables across finance, accounting, and operational reporting functions.<br>• Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments.<br>• Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes.<br>• Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation.<br>• Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
<p>The Data Engineer will develop and maintain scalable data pipelines and cloud-based data solutions that support analytics and business intelligence initiatives.</p><p>Responsibilities</p><ul><li>Design and build ETL/ELT processes.</li><li>Develop data pipelines using Python and SQL.</li><li>Optimize data warehouse performance.</li><li>Work with stakeholders to gather data requirements.</li><li>Support data governance and quality initiatives.</li></ul><p><br></p>
<p>We are seeking an experienced <strong>Data Engineer</strong> to architect, build, and optimize scalable data pipelines and cloud-based data platforms that support advanced analytics, reporting, and business intelligence initiatives.</p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain robust ETL/ELT pipelines for ingesting, transforming, and loading structured and semi-structured data.</li><li>Build and manage scalable data pipelines using <strong>Python</strong> and <strong>SQL</strong> across cloud and warehouse environments.</li><li>Optimize data storage, query performance, and overall efficiency within modern data warehouse platforms.</li><li>Develop and maintain data models that support downstream analytics, reporting, and operational use cases.</li><li>Collaborate with business stakeholders, analysts, and engineering teams to define data requirements and translate them into technical solutions.</li><li>Implement and support data quality checks, governance standards, and monitoring processes to ensure data reliability and integrity.</li><li>Troubleshoot pipeline failures, performance bottlenecks, and data consistency issues across the data ecosystem.</li><li>Contribute to best practices in data architecture, orchestration, documentation, and deployment.</li></ul><p><br></p>
<p>Seeking a Back-End Engineer to build scalable APIs, microservices, and cloud-native applications that support high-volume business operations.</p><p>Responsibilities</p><ul><li>Develop RESTful APIs and backend services.</li><li>Write clean, scalable, and maintainable code.</li><li>Optimize application performance and security.</li><li>Collaborate with front-end developers and product teams.</li><li>Participate in code reviews and architecture discussions.</li></ul><p><br></p>
<p>We are seeking a talented Back-End Software Engineer to design, develop, and maintain scalable APIs, microservices, and cloud-native applications that support high-volume business operations.</p><p>Responsibilities</p><ul><li>Design and develop RESTful APIs and backend services</li><li>Write clean, efficient, scalable, and maintainable code</li><li>Monitor and optimize application performance, reliability, and security</li><li>Collaborate with front-end developers, product teams, and other stakeholders</li><li>Participate in code reviews, technical planning, and architecture discussions</li></ul><p><br></p>
We are looking for an experienced PowerApps Engineer to support enterprise Power Platform initiatives for a client in Fort Lauderdale, Florida. This Long-term Contract position focuses on assessing existing tenant assets, analyzing cross-platform dependencies, and executing migration activities across Power Platform and Microsoft 365 ecosystems. The ideal candidate brings strong technical depth in Power Platform architecture, PowerShell automation, and environment-level planning, along with the ability to translate complex findings into clear recommendations for stakeholders.<br><br>Responsibilities:<br>• Evaluate current Power Platform assets across tenants and environments, producing clear inventory reports and migration recommendations for client stakeholders.<br>• Investigate platform architecture, configurations, and dependency relationships spanning Power Apps, Power Automate, Dataverse, Copilot Studio, AI Builder, and related solution components.<br>• Use PowerShell and reporting tools to collect, organize, and interpret technical data required for migration planning and decision-making.<br>• Analyze source and target tenant dependencies, including identity, collaboration, storage, and business application connections, to prepare accurate migration mappings.<br>• Support the movement of Dataverse data and solution components between environments using approved migration utilities and administrative tools.<br>• Work with Microsoft 365 and Power Platform admin centers to validate configurations, resolve dependency issues, and coordinate environment readiness.<br>• Build and maintain deployment and migration workflows through Azure DevOps pipelines and associated engineering practices.<br>• Communicate technical assessments, migration risks, and remediation options in language that is accessible to both technical and non-technical audiences.