Top Remote Data Engineer Jobs in Jacksonville, FL

Lead a team of data engineers and scientists to develop data models and analytics frameworks, ensuring data integration and compliance for financial operations while mentoring team members.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

The role involves designing data solutions by collaborating with business and tech teams, focusing on data structures and analytics to drive business improvements.

The Data Engineer III role is responsible for designing and developing data solutions, creating reports and dashboards using BI tools, and collaborating with teams to solve business challenges.

The Data Modeler will design and develop data models and architectures for cloud data warehouses, optimize for performance, and collaborate with teams to meet business needs.

The Senior Manager, Enterprise Data Engineering oversees the Enterprise Data Engineering team, manages data platforms, ensures scalability, governance, and operational excellence, and aligns initiatives with enterprise priorities while managing budgets and vendor relationships.

The Data Engineer II will design, implement, and maintain data solutions, ensuring operational availability and data quality for stakeholders. They will collaborate with teams, analyze data workflows, and develop metrics to track data quality issues.

Develop and operationalize data pipelines for data availability, design data management procedures, and ensure data quality across environments.

Develop and operationalize data pipelines for reports and analytics, ensuring data quality and optimizing performance, while collaborating with DevSecOps.

Develop data pipelines and tools supporting analytics and machine learning, collaborating across departments to improve data access and governance, while leading ETL processes and mentoring junior team members.

The Sr. Data Engineering Manager leads data management strategy focusing on AWS solutions, ensuring data governance and quality across various domains while managing a team.