Data Engineer

We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets.Responsibilities:• Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability.• Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools.• Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency.• Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput.• Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management.• Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines.• Create efficient code for data transformation and aggregation using Python and advanced query development techniques.• Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases.• Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.