<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>We are seeking a <strong>Business Analyst</strong> to support business process improvements, systems analysis, and technology initiatives within a government sector environment. This role works closely with internal departments and stakeholders to gather requirements, improve workflows, support ERP processes, and ensure system solutions meet operational needs.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Analyze and interpret business requirements across departments</li><li>Collaborate with stakeholders to ensure solutions meet business and end-user needs</li><li>Lead cross-functional efforts to evaluate and implement new technology and software</li><li>Support business process improvements and information flow optimization</li><li>Maintain ERP workflows that support daily operations</li><li>Coordinate system testing, end-user reviews, and post-implementation support</li><li>Provide user training and technical guidance for new and modified applications</li><li>Create process documentation and assist with change management efforts</li><li>Work with vendors to support application products</li><li>Assist with requirements analysis, validation, and prioritization for new projects</li><li>Stay current on digital trends, software development, and business continuity best practices</li></ul><p><br></p>
Ready to take your finance skills into the world of clinical research? Our client, a leading clinical research organization in Miami, is seeking a Budget Analyst to join their team on a contract-to-permanent placement basis. This is an excellent opportunity for a financial detail oriented who enjoys budgeting, financial analysis, Excel, and working cross-functionally — with the potential to transition into a permanent position. <br> What You’ll Do Develop and maintain budgets for clinical research studies and projects Analyze budget vs. actuals, expenses, revenue, and financial performance Prepare forecasts, financial reports, and variance analysis Review study protocols and help determine associated costs Support budget negotiations with sponsors and CROs Monitor study expenses and identify discrepancies or financial risks Assist with invoicing, reconciliations, amendments, and payment tracking Partner with Clinical Research, Finance, Contracts, and Operations teams Maintain accurate financial records and provide reporting to management <br> Clinical Research Experience? That’s a big plus! Experience with clinical trials, research budgets, healthcare, pharmaceutical, CROs, or sponsor contracts is highly preferred — but strong financial professionals with transferable budgeting and analytical experience are encouraged to apply. <br> Why Consider This Opportunity? contract-TO-permanent placement — Start on contract and have the opportunity to transition into a permanent position based on performance and business needs. 📍 Miami, FL <br> Interested? Apply today to learn more!
<p>We are looking for an AI Engineer to serve as a force multiplier for the client’s engineering organization. The role is part of an initiative to design, build, and scale AI-powered engineering workflows that dramatically increase developer productivity and accelerate software delivery. The client’s team is actively supporting a complex legacy-to-Python migration while maintaining multiple customer-facing applications. This role will be responsible for leveraging AI technologies to automate and optimize every phase of the Software Development Life Cycle (SDLC), including requirements analysis, code generation, testing, defect investigation, and release processes.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement AI-powered workflows that automate software engineering processes across the SDLC.</p><p>· Build and orchestrate multi-step AI agent frameworks for code analysis, generation, validation, testing, and feedback loops.</p><p>· Develop reusable AI tooling, agent templates, and engineering playbooks adopted across multiple teams.</p><p>· Create automated testing solutions, regression frameworks, and validation mechanisms using AI-assisted approaches.</p><p>· Enhance CI/CD pipelines and DevOps processes through intelligent automation and release optimization.</p><p>· Support large-scale legacy application modernization and business rule extraction initiatives.</p><p>· Build Python-based automation tools for data processing, workflow orchestration, and engineering productivity.</p><p>· Partner with developers, architects, and engineering leadership to identify and eliminate delivery bottlenecks.</p><p>· Evaluate and implement emerging AI technologies that improve software development efficiency and quality.</p>
We are looking for an experienced Sr. Business Analyst to help turn complex business and marketing data into clear, actionable insight for leadership in Miami, Florida. In this role, you will shape reporting frameworks, strengthen data foundations, and deliver dashboards that support strategic decision-making across the organization. This position is ideal for someone who can bridge technical data work with business priorities and collaborate effectively with executives, marketing stakeholders, and data partners.<br><br>Responsibilities:<br>• Build, refine, and maintain executive and marketing dashboards that present performance trends and business outcomes in a clear, decision-ready format.<br>• Partner with data engineering and cross-functional teams to structure, clean, and organize data from multiple platforms into reliable reporting sources.<br>• Develop and manage core datasets in platforms such as BigQuery to support analytics, visualization tools, and scalable reporting needs.<br>• Translate raw information into meaningful business analysis that helps identify growth opportunities, campaign performance patterns, and operational improvements.<br>• Establish and promote sound data governance and reporting practices to improve accuracy, consistency, and confidence in business metrics.<br>• Work closely with leadership to answer strategic questions, uncover insights, and create reporting that supports revenue-focused decisions.<br>• Leverage tools such as Looker, Power BI, Segment, Mixpanel, Salesforce, and related platforms to support advanced analysis and visualization.<br>• Contribute to the design of attribution reporting models, including first-touch, last-touch, and future multi-touch measurement approaches.<br>• Serve as a senior analytical resource across departments by identifying reporting gaps, solving data-related challenges, and supporting deeper segmentation analysis.