Data Engineer
Santa Monica, CA
Senior · Full time
$123-136K
Posted 5 months ago
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About the job

Reporting to the Senior Director, Data Science, you will join the Red Bull North America data science team and work with our HQ data science team in Austria. As the Data Engineer you will apply your expertise in developing data pipelines and data models to support mainly data scientists to build statistical models and complete analyses more efficiently. You'll partner with data scientists and business leaders, helping them define and refine their data needs and then build sustainable data pipelines and structures. This is a unique opportunity for a Data Engineer to work directly within a data science team in the business to solve big problems and make a difference. You will stay on top of the latest data technology developments and act as a knowledge hub for data-related issues at Red Bull North America but also globally. If you're motivated by solving problems and making an impact with data, this is the role for you.

Areas that play to your strengths

All the responsibilities we'll trust you with:

MANAGE DATA SCIENCE

Manage data science data projects from ideation through delivery. Work with data scientists and collaborators (marketing, sales, operations, and supply chain) to gather needs, communicating easily and comfortably while promoting partnership.

SOLVE DATA PROBLEMS

Partner with IT and BI to ensure data models and pipelines are designed to be available, scalable, maintained, and accurate. Solve challenging data integration problems, using ETL patterns, frameworks, query techniques, sourcing from all structured and unstructured data sources.

Your areas of knowledge and expertise

that matter most for this role:

  • 5+ years of industry experience in software development, data engineering, business intelligence, data science, or related field. Bonus if within the CPG industry.
  • Experience with data modeling, data warehousing, and building ETL pipelines. Bonus if you've experience preparing data for machine learning model training and real-time use cases.
  • Experience working with data scientists to grow model training, explore new data sources, and feature extraction.
  • Experience in SQL and Python coding languages. R coding experience.
  • Experience conceptualizing and overseeing end-to-end data models and evaluating design tradeoffs within systems.
  • Experience working with both technical and non-technical collaborators to understand data needs and turn into data models.
  • Experience working with a cloud-based service such as AWS, Azure or GCP.
  • Experience using big data technologies.
  • Proficient in Tableau and/or PowerBI and/or SAP Analytics Cloud.
  • Knowledge of data management fundamentals and data storage principles.
  • Bachelor’s or Master´s degree in computer science, engineering, mathematics, or a related technical discipline preferred.

The base salary range for this position is $123,500 to $136,500 + cash incentives Actual salary offer may vary based on work experience. The base pay range is subject to change and may be modified in the future.

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.

Red bull
Red Bull Energy Drink is a functional beverage providing various benefits to its customers.
Size:  10,000+ employees
Year Founded:  1984
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