Snowflake Data & AI Engineer — Cortex AI & Pipelines

Remote; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Life Insurance

Retirement plan

Commission sharing

Flexible hybrid

Parental leave

Job summary

FreedomPay is seeking a mid‑level Snowflake Data & AI Engineer to design, build, and operationalize data and AI solutions on Snowflake. You will craft scalable pipelines, semantic views, and AI agents while collaborating with security, platform, and business teams in a production environment.

The role focuses on delivery, durable engineering patterns, and cross‑functional alignment, with an emphasis on secure data sharing, governance, and cost controls within a hybrid, enterprise setup.

Qualifications

• Hands-on experience delivering production data solutions on Snowflake.
• Strong Snowflake SQL and data pipeline skills.
• Experience with AI/ML solutions and Snowflake Cortex AI or equivalent.
• Experience designing semantic layers for analytics and AI.
• Proficient in Python; familiar with testing, version control, and CI/CD.
• Experience with ingestion using Kafka, Openflow, Snowpipe, APIs.

Responsibilities

• Design, build, test, deploy, and maintain scalable data pipelines and data models on Snowflake.
• Develop and productionize AI solutions using Snowflake Cortex AI and related tools.
• Create and maintain semantic views to support governed analytics and AI.
• Build ingestion patterns with Snowflake Openflow, Kafka, Snowpipe, and APIs.
• Develop reusable components with SQL, SnowSQL, Python, and possibly JavaScript.
• Implement data quality checks, testing, observability, and deployment controls.

Skills

Data modeling

Cross-functional collaboration

Problem solving

Tools

Snowflake SQL

Python

Kafka

Snowpipe

Openflow

Azure

CI/CD

Job description

FreedomPay is seeking a mid‑level Snowflake Data & AI Engineer to design, build, and operationalize data and AI solutions on Snowflake. You will craft scalable pipelines, semantic views, and AI agents while collaborating with security, platform, and business teams in a production environment.

The role focuses on delivery, durable engineering patterns, and cross‑functional alignment, with an emphasis on secure data sharing, governance, and cost controls within a hybrid, enterprise setup.