Job Description

Red Bull North America's Data Science team is seeking a skilled Data Engineer to help build and scale the infrastructure powering our Data Science and Analytics initiatives. Reporting to the Director of Data Science, this role is ideal for an engineer who enjoys balancing the refinement of data science workflows into stable, reliable data and machine learning processes with developing data models and validations. The candidate will leverage software development skills to establish best practices and standards for the data science team.

Areas that play to your strengths

All the responsibilities we'll trust you with:

EXPERIENCE

Your areas of knowledge and expertise

that matter most for this role:

• 3+ years of industry experience in software development, data engineering, business intelligence, data science, or a related field. Bonus if within the CPG industry.
• Bachelor’s or master´s degree in computer science, engineering, mathematics, or a related technical discipline preferred
• Experience with data modeling, cloud data warehousing (Snowflake or Databricks) , and building ETL pipelines using tools like dbt, Glue, dagster or Airflow. Bonus: you've experience preparing data for machine learning model training and real-time use cases.
• Proficiency in SQL and Python coding languages with experience building robust ETL/ELT pipelines. Experience with R is a bonus.
• Experience applying software development practices to data engineering (CI/CD, Version Control, testing frameworks)
• Experience working with a cloud-based service such as AWS, Azure or GCP.
• Experience using big data technologies.
• Knowledge of data management fundamentals and data storage principles.

• Travel 0-10%
• Permanent
• Benefits eligible

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