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Spectraforce

Senior Data Engineer

Pay: Not specified

Posted: 1 week ago

Location: Jersey City, NJ (Hybrid)

Last Updated: 6 days ago

Hours: Full-Time

Expires: 10/4/2026

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What they do

A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.

$116,216 / year median in New Jersey

+11% projected growth

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Job Description

Job Title:

Senior Data Engineer Location:

Local to NJ (Hybrid mode preferred but we are open for remote too)

Duration:

Months 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.

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