Snowflake Data Engineer — AI-Ready Pipelines

CloudHive; San Francisco (CA); Hybrid; USD 140,000 - 180,000; Full time

Job summary

CloudHive is seeking a Snowflake Data Engineer in San Francisco, a hybrid role combining on-site collaboration with remote work. You will design and optimize data pipelines, create robust data models, and support AI-ready data foundations across the organization.

You will work closely with data scientists, growth analytics, and stakeholders to ensure data is clean, accessible, and ready for analytics and AI initiatives. This role emphasizes scalability and data reliability.

Qualifications

• Strong experience with Snowflake data engineering and data warehousing.
• Advanced SQL for complex transformations and queries.
• Python development for data pipelines and automation.
• Hands-on dbt for transformation and modeling.

Responsibilities

• Design, build, and maintain production-grade data pipelines with scalable, reliable data flows.
• Leverage Snowflake to optimize queries and data storage, and build robust data models.
• Develop reusable data models using dbt for analytics and AI use cases.
• Implement automated data quality checks, validation, and monitoring.

Skills

Snowflake data engineering

Advanced SQL

Python

dbt

Git/GitHub

Data modeling

ETL/ELT

Cross-functional teamwork

Job description

CloudHive is seeking a Snowflake Data Engineer in San Francisco, a hybrid role combining on-site collaboration with remote work. You will design and optimize data pipelines, create robust data models, and support AI-ready data foundations across the organization.

You will work closely with data scientists, growth analytics, and stakeholders to ensure data is clean, accessible, and ready for analytics and AI initiatives. This role emphasizes scalability and data reliability.