Denodo Data Engineer

Senior Data Engineer (Denodo)

About the Role

• Remote - Must be located in the US
• W2 only. No C2C
• 12 months plus duration contract to hire
• Hands-on Senior Data Engineer role focused on Denodo data virtualization
• Design, build, and maintain scalable virtualized data products and semantic-layer solutions
• Partner closely with Solution Architects, Tech Leads, AI Engineers, and Business SMEs
• Deliver trusted, governed, and AI-consumable data assets

Key Responsibilities

Denodo Development

• Develop and maintain layers of views
• Build virtualized data products using Denodo best practices
• Implement relationships, joins, standardization, and transformations
• Apply enterprise naming conventions and business metadata standards

Data Engineering

• Build and support ETL/ELT pipelines using AWS services
• Integrate data from multiple source systems, APIs, cloud platforms, and operational applications
• Support creation of canonical data models and semantic-layer entities
• Develop reusable data transformation components

Performance Optimization

• Optimize Denodo query performance
• Implement caching and accelerator strategies
• Tune joins, aggregations, and virtualized query execution
• Troubleshoot complex performance and integration issues

Required Qualifications

• 5+ years of Data Engineering experience
• 3+ years of Denodo development experience
• Strong knowledge of Virtual Data Models, Data Integration, SQL, Data Warehousing, and Dimensional Modeling
• Experience with AWS Lambda, ETL/ELT development, APIs and Web Services, and Data Product development
• Experience implementing join strategies, aggregations, union operations, and data standardization frameworks

Preferred Qualifications

• Exposure to AI/Agent engineering ecosystems
• Familiarity with LLMOps concepts