Data Engineer (Snowflake + AI)

East Brunswick, NJ, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
Depends on Experience
Fitment

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Summary

Position: Data Engineer (Snowflake + AI)
Location: Sunnyvale, CA (Onsite) relocation as well.
Salary: Market/yr. + Benefits
Rate: Market (DOE) - W2 contracting
We need ex-a*** candidates
JC 156232



Job Description:

We are looking for a skilled Data Engineer with strong expertise in Snowflake and AI/ML technologies. The ideal candidate will be responsible for building scalable data pipelines, enabling advanced analytics, and supporting AI-driven solutions.

Key Responsibilities:
• Design, develop, and maintain scalable data pipelines using Snowflake
• Implement data ingestion, transformation, and integration processes
• Work with structured and unstructured data for AI/ML use cases
• Collaborate with data scientists to deploy and optimize AI/ML models
• Optimize Snowflake performance, cost, and data architecture
• Ensure data quality, governance, and security standards
• Support real-time and batch data processing frameworks

Required Skills:
• Strong experience with Snowflake (data modeling, performance tuning, security)
• Proficiency in SQL and Python
• Experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt)
• Hands-on experience with cloud platforms (AWS/Azure/Google Cloud Platform)
• Understanding of AI/ML concepts and model deployment
• Experience with big data technologies (Spark, Kafka is a plus)
Preferred Skills:
• Experience with MLOps and model lifecycle management
• Knowledge of data lake and lakehouse architectures
• Familiarity with GenAI/LLM integration is an added advantage
Soft Skills:
• Strong problem-solving and analytical skills
• Good communication and stakeholder management
• Ability to work in a fast-paced, collaborative environment


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: 10117909
  • Position Id: 26-09352
  • Posted 2 hours ago
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