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Data Engineer (Snowflake + AI)

Tanisha Systems

Sunnyvale, NJ

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JOB DETAILS
SALARY
$130,000–$135,000 Per Year
JOB TYPE
Full-time, Employee
SKILLS
Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Big Data, Cloud Computing, Communication Skills, Data Lake, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Database Extract Transform and Load (ETL), GCP (Good Clinical Practices), Informatica, Microsoft Windows Azure, Performance Modeling, Performance Tuning/Optimization, Problem Solving Skills, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Structured Data, Team Player, United States Department of Energy (DOE), Unstructured Data, Use Cases
LOCATION
Sunnyvale, NJ
POSTED
15 days ago
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/GCP)
• 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


About the Company

T

Tanisha Systems

INDUSTRY
Computer Software