Data Engineer

CFS is seeking a Data Engineer to join their Business Intelligence team and enhance the organization's data and analytics capabilities. This role involves building and maintaining data infrastructure, supporting reporting initiatives, and developing scalable data solutions to facilitate better business decisions.

Responsibilities:

• Design, build, and maintain data pipelines and data integration processes
• Develop and support data lakes, data warehouses, and related data infrastructure
• Work with multiple data sources, including SQL Server, Salesforce, Intacct, and other business systems
• Create and maintain database objects such as tables, views, and data models
• Support data extraction, transformation, validation, and automation efforts
• Partner with business and technical teams to deliver reliable reporting and analytics solutions
• Improve data quality, consistency, scalability, and performance across analytics platforms
• Document and maintain data processes and best practices

Requirements:

• Design, build, and maintain data pipelines and data integration processes
• Develop and support data lakes, data warehouses, and related data infrastructure
• Work with multiple data sources, including SQL Server, Salesforce, Intacct, and other business systems
• Create and maintain database objects such as tables, views, and data models
• Support data extraction, transformation, validation, and automation efforts
• Partner with business and technical teams to deliver reliable reporting and analytics solutions
• Improve data quality, consistency, scalability, and performance across analytics platforms
• Document and maintain data processes and best practices
• Experience in Data Engineering, Business Intelligence, Analytics Engineering, or a related field
• Strong SQL skills, including creating views, tables, queries, and data transformations
• Experience building and maintaining data pipelines
• Experience working with various data sources, including SQL Server, Salesforce, Intacct, and other enterprise systems
• Experience with Microsoft Fabric and related technologies
• Experience with data lakes, data warehouses, and modern data architectures
• Understanding of ETL/ELT processes, data modeling, and data quality best practices
• Ability to work independently and communicate effectively with technical and non-technical stakeholders