Data Engineer

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 turning data science workflows into stable, reliable data, machine learning and generative AI processes, while also designing robust data models and validation frameworks. The candidate will leverage software development skills to establish best practices and standards for the data science team.

Responsibilities

Design, develop, and maintain robust data and machine-learning / generative AI pipelines that support analytics, reporting, and business use cases.

Productionize generative AI prototypes by transforming ad-hoc notebooks and experiments into secure, reliable, and repeatable workflows using modern DevOps practices.

Implement and manage CI/CD pipelines, infrastructure-as-code, testing frameworks, and monitoring to automate deployment and lifecycle management of data and GenAI workloads.

Collaborate with IT, BI, and data science teams to ensure that data models, pipelines, and GenAI services are designed for availability, scalability, maintainability, and accuracy.

Tackle complex data integration challenges by applying ETL/ELT frameworks, advanced querying techniques, and sourcing from both structured and unstructured data.

Build and maintain well-documented, structured data models and feature stores that enable efficient data science, generative AI experimentation, and analytics.

Optimize, test, and debug machine-learning and generative AI workflows and pipelines in a cloud environment, ensuring performance, robustness, and cost efficiency.

Establish and enforce engineering best practices, including code reviews, version control standards, automated testing, environment management, and release management.

Develop and maintain data quality standards, observability, and data governance processes that enable trusted data to be used across the enterprise.

Continuously monitor and optimize data pipeline performance to ensure efficiency, data quality, reliability, security, and compliance.

Effectively communicate data models, datasets, and pipeline designs to data scientists, analysts, and business stakeholders in clear, accessible terms, providing comprehensive documentation and support.

Help build and enhance data capabilities across the organization by ensuring teams are equipped with the right data, tools, and skills to effectively leverage them in support of the company’s data-driven and GenAI objectives.

3+ years of professional experience in software development, data engineering, business intelligence, data science, or a related field. Experience in the CPG industry is a plus.

A bachelor’s or master’s degree in computer science, engineering, mathematics, or a related technical discipline is preferred.

Experience with data modeling, cloud data warehousing (e.g., Snowflake or Databricks), and building ETL pipelines using tools such as dbt, AWS Glue, Dagster, or Airflow. Experience preparing data for machine learning model training and real-time applications is a plus.

Proficiency in SQL and Python, with experience building robust ETL/ELT pipelines.

Experience applying software engineering best practices to data engineering, including CI/CD, version control, and testing frameworks.

Experience working with a major cloud platform such as AWS, Azure, or Google Cloud Platform (GCP).

Experience using big data technologies.

Knowledge of data management fundamentals and data storage principles.

This position is open to U.S. citizens, U.S. permanent residents, or individuals who are currently authorized to work in the United States on a valid visa.

The base salary range for this position is $116,000 - $174,000 + cash incentives. Actual salary offers may vary based on work experience. The base pay range is subject to change and may be modified.

Our current Benefits include:

Comprehensive Medical, Dental and Vision Plans, 401k Match, Family Leave, PTO & Paid Holiday Schedule, Pet, Legal, and Life Insurance, Tuition Reimbursement (Benefits listed may vary depending on the nature of your employment and/or work location)

Red Bull North America, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, age, or any other classification protected by Federal, state, or local law. We will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.