grailed
Senior Data Engineer
At a Glance
- Location
- Los Angeles, California, United States
- Experience
- 5+ years
- Compensation
- nd other higher-cost markets) $128,000 - $160,000 USD Tier 2 - (Includes mid-co
- Posted
- 2026-07-21T12:56:26-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Insurance
- Medical
- Retail
Requirements
5+ years of engineering experience, with a strong foundation in software and data engineering, and familiarity with analytics engineering
Experience with our stack: Snowflake, DBT, Airflow, Fivetran, Segment, Looker, Amplitude, Algolia, AWS/Lambda, Git
Deep experience building, maintaining, and architecting data pipelines end-to-end, ingestion through consumption
Strong SQL skills and proficiency in Python
Experience building and consuming APIs
Treats data quality and observability as first-class concerns, comfortable implementing monitoring and alerting practices that catch issues before the business does
Responsibilities
Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards
Build, maintain, and improve our data pipeline using our modern data stack (Snowflake, DBT, Airflow, Looker)
Build centralized, durable, and reusable data models that serve the broader business, built with AI and ML consumption in mind
Build and maintain a semantic layer with canonical dimension and metric definitions
Partner closely with Analysts, PMs, Engineers, Marketing, Legal, Fraud, and other stakeholders, translating business needs into actionable data solutions
Build Reverse ETL pipelines in Python; use and build APIs to move and expose data