Data Engineer

Data Engineer

Remote

Compensation: $50 - $70 per hour

ABOUT THE ROLE

You will work closely with cross-functional teams to deliver robust, scalable data solutions that empower business stakeholders and drive data-driven decision-making across the organization.

• Design, build, and optimize enterprise data infrastructure leveraging Microsoft Fabric
• Establish and maintain centralized data warehouse solutions to support commercial, CRM, marketing, and analytics use cases
• Lead data migration, modernization, and refactoring efforts for existing data assets, pipelines, and reporting solutions
• Develop scalable ingestion, transformation, and harmonization processes for structured and unstructured data sources
• Integrate data from multiple internal and external sources, including CRM platforms, retail data providers, eCommerce channels, and commercial systems
• Design and implement data models, schemas, and governance standards that support enterprise reporting and analytics
• Collaborate with cross-functional teams to understand business and technical requirements and define appropriate data solutions
• Support advanced analytics and AI initiatives by enabling robust, scalable data ecosystems
• Ensure data quality, security, and compliance within the data warehouse environment
• Document data architecture, processes, and best practices for ongoing maintenance and knowledge sharing

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent professional experience
• 5+ years of experience in Data Engineering, Data Architecture, or related disciplines
• Hands-on experience designing and implementing solutions within Microsoft Fabric
• Strong expertise in enterprise data warehousing, data modeling, ETL/ELT development, and cloud-based data platforms
• Proven experience building scalable data pipelines and integrating data from multiple enterprise systems
• Ability to independently evaluate business and technical requirements and define appropriate solutions
• Demonstrated ability to drive projects forward with minimal oversight and direction
• Experience within Consumer Packaged Goods (CPG), Retail, or Commercial organizations (preferred)
• Familiarity with customer, sales, marketing, and CRM data ecosystems (preferred)
• Experience supporting Revenue Growth Management (RGM) initiatives and related analytics solutions (preferred)
• Exposure to AI/ML platforms and forecasting solutions, including Fractal or similar technologies (preferred)
• Experience integrating and modeling Salesforce data (preferred)
• Experience supporting global organizations and large-scale analytics environments (preferred)
• Knowledge of modern reporting and visualization platforms that consume enterprise warehouse data (preferred)