Data Engineer

• Design, develop, and maintain scalable data pipelines to ensure high-quality data accessibility for analytics and modeling.
• Implement and optimize ETL processes, focusing on data transformation, integration, and cleansing.
• Collaborate with cross-functional teams to understand data requirements and deliver effective data models that support business analytics.
• Apply statistical analysis and machine learning techniques to solve complex data challenges and generate actionable insights.
• Monitor and troubleshoot data systems, ensuring data integrity and performance optimization across data workflows.
• Stay current with industry trends, technologies, and best practices in data engineering and data science.
• Contribute to the development of dashboards and reporting tools to visualize data and support decision-making processes.
• Document data processes and architectures to facilitate knowledge sharing and promote compliance with data governance standards.

Software Engineer, Data

Data Engineer

Data Engineer

AVP – Technology – Data Engineer, Data Management

Senior Data Engineer

Staff Data Engineer