<p>We are seeking a skilled <strong>BI Engineer</strong> with strong experience in <strong>Power BI</strong> and <strong>Microsoft Fabric</strong> to design, build, and optimize scalable business intelligence solutions. In this role, you will partner closely with business stakeholders, data engineers, and analytics teams to transform complex data into actionable insights.</p><p>This is an opportunity to play a key role in modernizing our analytics platform and enabling self-service, performant, and reliable reporting across the organization.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain <strong>Power BI dashboards and reports</strong> that deliver meaningful insights to business users</li><li>Build and optimize <strong>semantic models</strong>, datasets, and measures using <strong>DAX</strong> and Power BI best practices</li><li>Leverage <strong>Microsoft Fabric</strong> components (OneLake, Dataflows Gen2, Lakehouses, Warehouses) to support modern BI and analytics workflows</li><li>Collaborate with data engineering teams to ensure reliable, well-modeled, and high-quality data pipelines</li><li>Implement data governance, security, and role-based access controls within Power BI and Fabric</li><li>Optimize performance, data refresh strategies, and query efficiency</li><li>Partner with stakeholders to gather requirements and translate business needs into technical BI solutions</li><li>Support and promote self-service analytics adoption across the organization</li></ul><p><br></p>
<p>We’re seeking a Data Engineer to build and maintain scalable data pipelines that power analytics, reporting, and machine learning across the organization. You’ll turn raw data into clean, reliable, and accessible datasets that drive business decisions.</p><p>What You’ll Do</p><ul><li>Design and maintain data warehouses and data lakes</li><li>Build ETL/ELT pipelines integrating data from multiple systems</li><li>Optimize performance for large-scale datasets</li><li>Ensure data quality, security, and governance</li><li>Collaborate with analysts and ML teams to create analytics-ready datasets</li><li>Automate workflows and monitoring</li></ul><p><br></p>
We are looking for an experienced Data Engineer to join our team in Jacksonville, Florida. In this role, you will take the lead in designing and building a cutting-edge Azure lakehouse platform that enables business leaders to access analytics through natural language queries. This position combines hands-on technical expertise with leadership responsibilities, offering an opportunity to mentor a team of skilled engineers while driving innovation.<br><br>Responsibilities:<br>• Architect and develop a robust Azure lakehouse platform, utilizing Azure Data Lake Gen2, Delta Lake, and PySpark to create efficient data pipelines.<br>• Implement a semantic layer and metric store to ensure consistent data translation and definitions across the organization.<br>• Design and maintain real-time and batch data pipelines, incorporating medallion architecture, schema evolution, and data contracts.<br>• Build retrieval systems for large language models (LLMs) using Azure OpenAI and vectorized Delta tables to support chat-based analytics.<br>• Ensure data quality, lineage, and observability through tools like Great Expectations and Unity Catalog, while optimizing costs through partitioning and compaction.<br>• Develop automated systems for anomaly detection and alerting using Azure ML pipelines and Event Grid.<br>• Collaborate with product and operations teams to translate complex business questions into actionable data models and queries.<br>• Lead and mentor a team of data and Python engineers, establishing best practices in CI/CD, code reviews, and documentation.<br>• Ensure compliance with security, privacy, and governance standards by designing and implementing robust data handling protocols.
We are looking for a highly skilled Senior Software Engineer with expertise in artificial intelligence and machine learning to join our dynamic team in Jacksonville, Florida. This role demands a strong technical background and hands-on experience in developing and operationalizing cutting-edge AI solutions. You will have the opportunity to innovate and create impactful systems using the latest advancements in generative AI, reinforcement learning, and large language models (LLMs).<br><br>Responsibilities:<br>• Design and optimize large language models (LLMs) for specialized applications.<br>• Implement reinforcement learning algorithms and multi-agent systems to enhance automation capabilities.<br>• Develop generative AI tools for efficient data retrieval and visualization.<br>• Establish and maintain MLOps pipelines to ensure seamless deployment and monitoring of AI models.<br>• Collaborate with cross-functional teams to align technical solutions with business needs.<br>• Conduct ongoing research to integrate the latest AI advancements into system designs.<br>• Troubleshoot and resolve technical challenges related to AI model performance.<br>• Document processes and provide technical insights to stakeholders.<br>• Ensure compliance with industry standards and best practices for AI development.
