Find & Apply For Data Engineer Jobs in Newark, New Jersey

Senior Data Engineer - Denodo / AWS Data Virtualization#26-35124

$15.92-$64.29 per hour

Newark, NJ

Hybrid

Job Description

Our client, a IT Services and Consulting company, is looking for a Senior Data Engineer - Denodo / AWS Data Virtualization for their Newark, NJ/Hybrid location.

Responsibilities:

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.

Requirements:

• 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.
• 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

Years of Experience:

13.00 Years of Experience