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Senior Data Engineer

5 days, 16 hours ago
United States
Full-time
Senior
Data Engineer
Software Development
Amplitude Apache Airflow AWS dbt Git Looker Machine Learning Python Segment Snowflake SQL
Apply Now
GOAT Group

GOAT Group

GOAT Group is a global platform offering the greatest products from the past, present, and future. Established in 2015, it has evolved into the premier sneaker marketplace worldwide, expanding to provide apparel and accessories from emerging, contempor...

Retailing
1K-5K
$493M raised
View All Jobs 14

Description

  • Own the reliability, availability, accuracy, and privacy compliance of the data infrastructure.
  • Build, maintain, and improve data pipelines across Snowflake, DBT, Airflow, and Looker.
  • Design centralized, durable, reusable data models that support the broader business and AI/ML consumption.
  • Build and maintain a semantic layer with canonical dimension and metric definitions.
  • Partner with analysts, product managers, engineers, marketing, legal, fraud, and other stakeholders to translate business needs into data solutions.
  • Build Reverse ETL pipelines in Python and use APIs to move and expose data.
  • Bring in new data sources, improve existing data models, and define SLAs/SLOs for key business dependencies.
  • Champion data governance and raise the organization’s data maturity through standards and responsible data handling.
  • Own data feeds that support in-product marketing, retention communications, and growth marketing channels such as Google Shopping, Meta, and TikTok.

Requirements

  • 5+ years of engineering experience with a strong foundation in software and data engineering, plus familiarity with analytics engineering.
  • Experience with Snowflake, DBT, Airflow, Fivetran, Segment, Looker, Amplitude, Algolia, AWS/Lambda, and Git.
  • Deep experience building, maintaining, and architecting end-to-end data pipelines from ingestion through consumption.
  • Strong SQL skills and proficiency in Python.
  • Experience building and consuming APIs.
  • Demonstrated ability to drive projects from scoping through delivery while owning outcomes.
  • Comfort with ambiguity, high autonomy, and strong communication with both technical and non-technical stakeholders.
  • Experience treating data quality and observability as first-class concerns, including monitoring and alerting practices.
  • Familiarity with ML/data science workflows and how data engineering supports them, preferred.
  • Exposure to search and discovery platforms, preferred.
  • Prior experience in retail, resale, or marketplace commerce, preferred.

Benefits

  • Hiring range of $108,800 to $160,000 USD, depending on location and experience.
  • Geographic pay tiers based on the employee’s home state.
  • 401(k) plan.
  • Paid time off.
  • Medical, dental, and vision insurance options.
  • Disability and life insurance options.

Interested in this position?

Apply directly on the company website

Apply Now

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