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.

Responsibilities:

• Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks.
• Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas.
• Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets.
• 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.
• Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards.
• Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design.
• Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations.
• Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.