Data Engineer

Hybrid in Newark, NJ, US • Posted 20 hours ago • Updated 20 hours ago
Contract W2
6 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Denodo

Summary

Title: Senior Data Engineer
Duration: 06 months (potential to hire)
Location: Newark, NJ


Job 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.

Key Responsibilities
Denodo Development
• Develop and maintain layers of views;
• Build virtualized data products using Denodo best practices.
o 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:
o Virtual Data Models
o Data Integration
o SQL
o Data Warehousing
o Dimensional Modeling
Experience with:
o AWS Lambda
o ETL/ELT development
o APIs and Web Services
o Data Product development
Experience implementing:
o Join strategies
o Aggregations
o Union operations
o Data standardization frameworks

Preferred Qualifications
• Exposure to:
o AI/Agent engineering ecosystems
o 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: 10119021
  • Position Id: 9065443
  • Posted 20 hours ago
Contact the job poster
KN

Komal Narang

Recruiter @ SPECTRAFORCE TECHNOLOGIES Inc.
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