<p>We’re hiring a <strong>Cloud Engineer</strong> to design and manage Azure-based infrastructure.</p><p>Key Responsibilities:</p><ul><li>Deploy and manage Azure environments</li><li>Support cloud migration initiatives</li><li>Monitor performance and cost optimization</li></ul><p><br></p>
<p>Support, design, and optimize complex IT systems and cloud environments, with a focus on Azure infrastructure solutions. Ensure systems performance meets business needs while maintaining high availability.</p>
<p>Seeking a Cloud DevOps Engineer to support CI/CD pipelines, infrastructure automation, and cloud optimization efforts in a modern Azure environment.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Build and manage <strong>CI/CD pipelines</strong> (Azure DevOps, GitHub Actions)</li><li>Deploy and maintain <strong>infrastructure as code (Terraform, ARM, Bicep)</strong></li><li>Monitor and optimize <strong>cloud environments (Azure)</strong></li><li>Collaborate with engineering teams to improve <strong>deployment processes</strong></li><li>Implement <strong>security, compliance, and governance controls</strong></li><li>Troubleshoot infrastructure and deployment issues</li></ul><p><br></p>
We are looking for a Data Analyst to join our team and turn complex business data into clear, actionable direction. In this role, you will shape reporting standards, uncover performance trends, and build analytical solutions that support operational and strategic decisions. This position also plays an important part in strengthening enterprise data capabilities through scalable models, thoughtful metric design, and close collaboration with business leaders.<br><br>Responsibilities:<br>• Design and maintain interactive Power BI dashboards and reporting solutions that give stakeholders timely visibility into business performance.<br>• Establish consistent measurement frameworks by defining, documenting, and refining key performance indicators used across teams.<br>• Analyze operational and financial data to identify trends, highlight improvement opportunities, and support decisions related to efficiency, margin, and throughput.<br>• Create forecasting tools, audience segmentation analyses, and predictive models to help the business plan more effectively and anticipate outcomes.<br>• Work closely with leaders and cross-functional partners to translate analytical findings into practical recommendations and business actions.<br>• Guide entry-level analysts by sharing analytical best practices, reviewing work, and encouraging high standards in reporting and data usage.<br>• Support enterprise data architecture efforts by contributing to semantic model design and scalable reporting structures within modern data environments.<br>• Participate in Microsoft Fabric and Lakehouse-related initiatives, including data model development and enhancements to analytics platform capabilities.
<p>We’re seeking a Data Engineer to design and build scalable data pipelines in a modern Azure environment. This role focuses on transforming raw data into reliable, analytics-ready datasets.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Build and maintain <strong>ETL/ELT pipelines</strong> using Azure Data Factory</li><li>Develop data solutions in <strong>Azure Databricks (PySpark / Spark)</strong></li><li>Optimize data processing performance and cost efficiency</li><li>Work with structured and unstructured data across cloud platforms</li><li>Collaborate with analytics and business stakeholders to define data requirements</li><li>Ensure data quality, governance, and documentation</li></ul><p><br></p>
We are looking for an experienced Data Engineer to help design and support scalable cloud-based data platforms in Jacksonville, Florida. This role focuses on building resilient data solutions in Azure, improving end-to-end data processing, and helping ensure strong performance across distributed systems. You will work closely with global engineering partners, contribute technical direction, and support a reliable delivery model in an Agile environment.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud data infrastructure within Azure, using automation and infrastructure-as-code practices to improve consistency and scalability.<br>• Build and enhance enterprise data pipelines for ingestion, transformation, and processing using Databricks, Apache Spark, and Azure Data Factory.<br>• Provide technical leadership for cloud data platforms by driving architecture decisions that strengthen availability, performance, and long-term scalability.<br>• Collaborate daily with offshore and international engineering teams to align on development priorities, review code, and share technical knowledge across time zones.<br>• Participate actively in Agile ceremonies such as sprint planning, stand-ups, backlog refinement, readiness reviews, and retrospectives to support predictable delivery.<br>• Mentor data engineers through coaching, design guidance, and code review feedback that promotes high engineering standards.<br>• Support production operations by investigating incidents, resolving system bottlenecks, and leading root-cause analysis to improve platform reliability.<br>• Create and maintain architecture documentation, operational runbooks, and technical decision records to support distributed team execution.