Red Bull · 7 hours ago
Data Engineer
Santa Monica, CA
Full-time
Onsite
Mid Level
$116K/yr - $174K/yr
3+ years expRed Bull North America's Data Science team is seeking a skilled Data Engineer to help build and scale the infrastructure powering their Data Science and Analytics initiatives. The role involves designing and maintaining data and machine-learning pipelines, implementing CI/CD practices, and collaborating with various teams to ensure data models and services are reliable and efficient.
RetailFood and BeverageWholesale
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
Qualification
Required
3+ years of professional experience in software development, data engineering, business intelligence, data science, or a related field
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
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
Preferred
A bachelor's or master's degree in computer science, engineering, mathematics, or a related technical discipline is preferred
Experience in the CPG industry is a plus
Experience preparing data for machine learning model training and real-time applications is a plus
Benefits
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)
Company
Red Bull
Red Bull is a beverage company that offers energy drinks.
10001+ employees
H1B Sponsorship
Red Bull has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (1)
2022 (1)
2020 (2)
Funding
Current Stage
Late StageLeadership Team
Jennifer Tetrick
Senior Communications Manager
Recent News
PR Newswire
2026-02-06
SlashGear.com
2026-02-05
2026-02-04
Company data provided by crunchbase