Senior Data Engineer

Max rate : ***/hr
Local to NJ (Hybrid mode preferred but we are open for remote too)

We are seeking a hands-on Senior Data Engineer with strong Denodo experience to design, build, and maintain scalable virtualized data products and semantic-layer solutions. The ideal candidate will have expertise in data integration, virtualization, API enablement, and cloud-based ETL development.
This role will partner closely with Solution Architects, Tech Leads, AI Engineers, and Business SMEs to 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.
oImplement: Relationship, joins, standardization, 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:
oVirtual Data Models
oData Integration
oSQL
oData Warehousing
oDimensional Modeling
"Experience with:
oAWS Lambda
oETL/ELT development
oAPIs and Web Services
oData Product development
"Experience implementing:
oJoin strategies
oAggregations
oUnion operations
oData standardization frameworks
Preferred Qualifications
"Exposure to:
oAI/Agent engineering ecosystems
oLLMOps concepts