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Senior Data Engineer

Spectraforce Technologies
United States, New Jersey, Newark
Sep 22, 2026
Title: Senior Data Engineer

Location: Newark, NJ (Hybrid)

Duration: 6 Months (Contract to hire)


Job Summary

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



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