

Intellectt Inc
Data Engineer – Data Modeling
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Data Modeling, offering a remote contract position. Key skills include ETL/ELT, SQL, data governance, and experience with data warehouses and lakes. Strong collaboration with analytics and business teams is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#Physical Data Model #BI (Business Intelligence) #Data Modeling #SQL Queries #Data Science #Data Lake #Data Warehouse #"ETL (Extract #Transform #Load)" #Data Governance #Data Engineering #Security #Data Quality #Scala #SQL (Structured Query Language) #Compliance
Role description
Role: Data Engineer – Data Modeling
Location: Remote
Job Summary
We are seeking a skilled Data Engineer with strong Data Modeling expertise to design, build, and maintain scalable data solutions. The ideal candidate will work closely with analytics, data science, and business teams to ensure data is reliable, well-structured, and optimized for reporting and advanced analytics.
Key Responsibilities
• Design and implement conceptual, logical, and physical data models
• Build and maintain ETL/ELT pipelines for structured and semi-structured data
• Develop and optimize data warehouses and data lakes
• Ensure data quality, integrity, and performance across platforms
• Collaborate with stakeholders to translate business requirements into data models
• Optimize SQL queries and data structures for performance and scalability
• Implement data governance, security, and compliance standards
• Support analytics, BI, and downstream data consumers
Role: Data Engineer – Data Modeling
Location: Remote
Job Summary
We are seeking a skilled Data Engineer with strong Data Modeling expertise to design, build, and maintain scalable data solutions. The ideal candidate will work closely with analytics, data science, and business teams to ensure data is reliable, well-structured, and optimized for reporting and advanced analytics.
Key Responsibilities
• Design and implement conceptual, logical, and physical data models
• Build and maintain ETL/ELT pipelines for structured and semi-structured data
• Develop and optimize data warehouses and data lakes
• Ensure data quality, integrity, and performance across platforms
• Collaborate with stakeholders to translate business requirements into data models
• Optimize SQL queries and data structures for performance and scalability
• Implement data governance, security, and compliance standards
• Support analytics, BI, and downstream data consumers






