Data Engineer (Snowflake + AI)

Data Engineer (Snowflake + AI) (Sunnyvale, CA, 94086) | 04/08/2026 Easy Apply

Job Code :

JPC - 68110

Job Description

Role:

Data Engineer (Snowflake + AI)

Location:

Sunnyvale, CA 3 days onsite per week (Tue,Wed,Thu)

JC:

156232

Salary:

$135k/yr. + Benefits

Bill Rate:

$75/hr.

Payrate :

$55/HR on W2

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 ================================================W2============================================================================= We have an immediate opportunity for a Data Engineer with strong expertise in Snowflake and AI/ML technologies to build and maintain scalable data pipelines that power advanced analytics and AI-driven solutions.

In this role, you will design, develop, and optimize data architectures using Snowflake, implement robust data ingestion and transformation processes, and work with both structured and unstructured datasets to support machine learning use cases. You will collaborate closely with data scientists to deploy and enhance AI/ML models, while also ensuring high standards of data quality, governance, and security across systems. Additionally, you will support both real-time and batch data processing frameworks and continuously optimize performance and cost efficiency within the Snowflake ecosystem. The ideal candidate brings strong hands-on experience with Snowflake, including data modeling, performance tuning, and security, along with solid proficiency in SQL and Python. You should have experience working with ETL/ELT tools such as Airflow, Informatica, or dbt, and be comfortable operating within cloud environments like AWS, Azure, or GCP. A good understanding of AI/ML concepts and model deployment is essential, as is familiarity with big data technologies such as Spark and Kafka. This role requires a proactive problem-solver who can bridge data engineering and machine learning needs to deliver scalable, high-impact data solutions. For immediate consideration please contact: Nathan Technical Recruiter PRIMUS Global Services Inc.

Direct:

972-798-2669