Data Platform Engineer — Snowflake & AI-Ready Data

P2P; San Francisco (CA); On-site; USD 200,000 - 240,000; Full time

Benefits offered by this job

Medical, Dental, & Vision

Gym Reimbursement

Home Office Build-out Budget

In-Office Group Meals

Commuter Benefits

Flexible Time Off

Wellbeing & Mental Health Perks

Learning & Development Stipend

Company Sponsored Conferences & Events

HSA and FSA Plans

Fertility Benefits

Job summary

A leading tech company in San Francisco is seeking a Data Engineer to build clean and trusted datasets that power their AI tooling. The role requires over 6 years of experience in data engineering, strong SQL, and deep expertise in Snowflake. Responsibilities include managing company-wide data models, structuring datasets, and ensuring data quality. This position offers competitive compensation, including a salary range of $200,000 - $240,000, alongside comprehensive benefits and flexible time off.

Qualifications

• 6+ years in data engineering with strong SQL and deep Snowflake expertise.
• Experience designing efficient, scalable analytical data models.
• Proficiency with dbt or comparable transformation frameworks.

Responsibilities

• Build and own the canonical data models in Snowflake.
• Structure datasets for optimal vendor AI tool performance.
• Eliminate shadow tables and serve team data needs.

Skills

SQL

Data engineering

Snowflake

Data modeling

dbt

Data quality

Job description

A leading tech company in San Francisco is seeking a Data Engineer to build clean and trusted datasets that power their AI tooling. The role requires over 6 years of experience in data engineering, strong SQL, and deep expertise in Snowflake. Responsibilities include managing company-wide data models, structuring datasets, and ensuring data quality. This position offers competitive compensation, including a salary range of $200,000 - $240,000, alongside comprehensive benefits and flexible time off.