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Data Engineer

Job in Santa Monica, Los Angeles County, California, 90403, USA
Listing for: Red Bull Gruppe
Full Time position
Listed on 2026-07-23
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Red Bull North America is building the #1 CPG Data and Analytics team in the United States. We are looking for a Data Engineer to join our Enterprise Analytics & Data Engineering team - a small, high-ownership group serving Sales, Distribution, Operations, and Finance functions across the business.

The Data Engineer will play a pivotal role in transforming raw data into reliable, analytics-ready products that people actually use to make decisions, building and maintaining the pipelines, Snowflake data models, and dbt-based transformation layers that serve as the backbone of our analytics and AI ecosystem.

The ideal candidate will have hands-on experience with Snowflake, dbt, Dagster, and Python to develop, implement, and maintain robust data pipelines and analytical solutions. The engineer will interact directly with business stakeholders, transforming business requirements into technical solutions. Service mindedness, a white-glove-service approach, communication skills, and pro-activity are key skills required for the right candidate.

This position is on the Red Bull North America HQ Talent team and will be required to sit onsite in our North American Headquarters office, in Santa Monica, CA. We are in the office 4 days per week with the 5th business day being remote.

WHAT SUCCESS LOOKS LIKE
  • Pipelines run reliably with high data quality and minimal rework
  • Transformation models are clean, tested, and documented to team standards
  • AI-ready data layers are in place and accelerating intelligent analytics delivery on Snowflake Cortex
  • Business teams receive accurate, well-documented data products without needing to re-open requirements
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