Grailed

Senior Data Engineer

Los Angeles, CA · Senior

Sponsorship not specified$128k-$160kDetected 18 hours ago

PythonGitSQLSnowflakeAWSMachine LearningAirflowdbtData EngineeringData ScienceData VisualizationGrowth MarketingOnboardingLeadershipCommunication

About the role

To determine starting pay within the hiring range, we carefully consider a variety of factors, including primary work location, role/level, a candidate's skills, experience, market demands, and internal parity.

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
Own data feeds that support in-product marketing, retention communications, and Growth Marketing feeds (i.e. Google Shopping, Meta, Tiktok, etc)
Deep experience building, maintaining, and architecting data pipelines end-to-end, ingestion through consumption
Build Reverse ETL pipelines in Python; use and build APIs to move and expose data

Comfortable operating with a high degree of autonomy, self-directed and able to drive work forward, while keeping the team informed and aligned along the way

Exposure to search and discovery platforms
Prior experience in retail, resale, or marketplace commerce, genuine curiosity about the domain a must regardless
There are no wrong answers, we actually read all of these.
GOAT Group uses geographic pay tiers based on the employee's home state to align compensation with market differences across the U.S.
Tier 1 (Includes states such as California, New York (including New York City), Washington, Illinois and other higher-cost markets)
Tier 2 - (Includes mid-cost markets across the U.S.)
You may reach out to a recruiter for additional information.
GOAT Group represents the leading platforms for authentic sneakers, apparel and accessories.

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
Strong SQL skills and proficiency in Python
Experience building and consuming APIs

The hiring range for this position is below, plus benefits (401K, paid time off, dental, medical, vision, disability, life insurance options).

Our data sits at the center of a complex, peer-to-peer marketplace and touches nearly every part of the business.

This listing is sourced directly from Grailed's careers page and normalized into a canonical job model.