Hyrhub
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 8+ years of experience in Data Engineering, proficient in Python, SQL, Snowflake, and cloud platforms (AWS/Azure). The contract is onsite in New Jersey, focusing on ETL/ELT architectures and AI pipeline development.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 31, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#SnowPipe #Data Integration #AWS (Amazon Web Services) #Data Architecture #Airflow #Scala #Azure #SnowSQL #Security #Data Engineering #dbt (data build tool) #Snowflake #Data Processing #Data Governance #SQL (Structured Query Language) #Data Modeling #Compliance #Python #Cloud #Automation #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence)
Role description
AI Data Engineer, Onsite New Jersey
Key Skills to Succeed in this Role
• 8+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.
• Proven hands-on expertise in:
• Python (data processing, automation, and transformation frameworks)
• Advanced SQL (complex query development, performance optimization, and stored procedures)
• Snowflake (warehouse design, SnowSQL, Snowpipe, Streams, and Tasks)
• Strong experience with cloud platforms, preferably AWS and/or Azure.
• Deep understanding of ETL/ELT architectures, data integration frameworks, and orchestration tools such as Airflow and dbt.
• Expertise in data modeling and designing scalable, enterprise-grade analytical platforms.
Hands one experience in Build RAG Pipeline and using Modern AI
Driving Innovation, Empowering Insights
• Experience implementing data governance, security controls, role-based access, and compliance
standards.
• Demonstrated ability to work independently while driving technical and architectural initiatives.
AI Data Engineer, Onsite New Jersey
Key Skills to Succeed in this Role
• 8+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.
• Proven hands-on expertise in:
• Python (data processing, automation, and transformation frameworks)
• Advanced SQL (complex query development, performance optimization, and stored procedures)
• Snowflake (warehouse design, SnowSQL, Snowpipe, Streams, and Tasks)
• Strong experience with cloud platforms, preferably AWS and/or Azure.
• Deep understanding of ETL/ELT architectures, data integration frameworks, and orchestration tools such as Airflow and dbt.
• Expertise in data modeling and designing scalable, enterprise-grade analytical platforms.
Hands one experience in Build RAG Pipeline and using Modern AI
Driving Innovation, Empowering Insights
• Experience implementing data governance, security controls, role-based access, and compliance
standards.
• Demonstrated ability to work independently while driving technical and architectural initiatives.
