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Senior Data Engineer-(Denodo)- Hybrid- Newark, NJ

Newark, NJ, US • Posted 2 days ago • Updated 2 days ago

Contract Independent

Contract W2

On-site

Fitment

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Job Details

Skills

Recruiting
Virtualization
API
Meta-data Management
Amazon Web Services
Cloud Computing
Semantics
Performance Tuning
Caching
Data Engineering
Data Integration
SQL
Data Warehouse
Dimensional Modeling
Amazon Lambda
Extract
Transform
Load
ELT
Web Services
Product Development
Artificial Intelligence

Summary

Job Role:Senior Data Engineer(Denodo Data Engineering)

Work Type - Hybrid (WFO - 3 Days)

Work Location - Newark, NJ

Hiring mode: W2(Only)
Duration: Contract (1year)

(Contract to Hire after 1 year)

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.
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.

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
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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10278242
Position Id: 2026-1004
Posted 2 days ago

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