Top Data Engineer Jobs in Jacksonville, FL

The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.

The Senior Advisor - Data Storytelling PM will process and analyze diverse data sources to create performance narratives that inform strategic fundraising decisions. Responsibilities include data analysis and visualization, generating insights from performance metrics, stakeholder engagement, maintaining dashboards, and training teams on analytics best practices.

The Analytics Engineer will build and optimize data infrastructure for business insights, ensuring data accuracy and availability. Responsibilities include maintaining data pipelines in dbt, creating Tableau dashboards, collaborating with teams on data challenges, and training analysts in SQL for data analysis.

The Senior Consultant - Staffing Services will provide expert services by evaluating system processes, recommending configurations, troubleshooting software systems, leading projects, and mentoring team members to meet client goals.

The Senior Big Data Engineer will develop batch processing systems, manage data workflows using Oozie and Airflow, and leverage GCP for scalable data solutions. Responsibilities include implementing DevOps practices, engineering solutions at scale, and collaborating in a remote environment.

The Senior Software Engineer will lead or collaborate on the design, development, and deployment of software features, ensuring clean, reusable coding standards and effective problem-solving with clients. This role involves improving code architecture and maintaining high-quality documentation.

The Senior Analytics Engineer will design, build, and maintain data models to drive business insights, collaborate closely with stakeholders, implement data automation, and enhance analytics capabilities. The role involves managing multiple projects, defining best practices for data sourcing, and communicating updates effectively across teams.