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# Senior Data Engineer

- **Company:** Spectraforce
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Dimensional Modeling, Metadata Standards, Performance Tuning, Standard Sql, Virtualization Technology, AWS Lambda, Machine Learning Operations, Data Pipelines, Web Api
- **Published:** September 3, 2026
- **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=100a582e-bee7-4935-9d00-dc8211df5198&OrgId=1&UserId=4959

## About the Role

* 5+ years of Data Engineering experience.
 * 3+ years of Denodo development experience.
 * Strong knowledge of:

 * Virtual Data Models
 * Data Integration
 * SQL
 * Data Warehousing
 * Dimensional Modeling

 * Experience with:

 * AWS Lambda
 * ETL/ELT development
 * APIs and Web Services
 * Data Product development

 * Experience implementing:

 * Join strategies
 * Aggregations
 * Union operations
 * Data standardization frameworks

Preferred Qualifications
Exposure to:

 * AI/Agent engineering ecosystems
 * LLMOps concepts

## Description

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., Denodo Development

 * Develop and maintain layers of views;
 * Build virtualized data products using Denodo best practices.
 * Implement: 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.


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