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Taco Bell

Data Engineer I

Posted 10 Days Ago
In-Office
Irvine, CA
87K-102K
Junior
In-Office
Irvine, CA
87K-102K
Junior
The Data Engineer I will design, implement, and optimize data pipelines using AWS and IICS, ensuring data integration and quality.
The summary above was generated by AI

Who is Taco Bell?

Taco Bell was born and raised in California and has been around since 1962. We went from selling everyone’s favorite Crunchy Tacos on the West Coast to a global brand with 8,200+ restaurants, 350 franchise organizations, that serve 42+ million fans each week around the globe. We’re not only the largest Mexican-inspired quick service brand (QSR) in the world, we’re also part of the biggest restaurant group in the world: Yum! Brands. 

Much of our fan love and authentic connection with our communities are rooted in being rebels with a cause. From ensuring we use high quality, sustainable ingredients to elevating restaurant technology in ways that hasn’t been done before… we will continue to be inclusive, bold, challenge the status quo and push industry boundaries.   

We’re a company that celebrates and advocates for different, has bold self-expression, strives for a better future, and brings the fun while we’re at it. We fuel our culture with real people who bring unique experiences. We inspire and enable our teams and the world to Live Más.

At Taco Bell, we’re Cultural Rebels. Want to join in on the passion-fueled fun? Learn more about the career below. 

About the Job:

The Data Engineer I will be tasked with designing, implementing, and optimizing data pipelines and workflows within a cloud-based environment. This role involves close collaboration with cross-functional teams to gather requirements, create scalable solutions, and ensure seamless data integration and transformation. The ideal candidate will utilize AWS for storage, computation, and deployment, alongside IICS for robust data integration and Fabric for real-time analytics, driving Taco Bell's ability to derive actionable insights efficiently. Emphasizing automation, reliability, and maintaining high data quality is central to the responsibilities of this position. Through continuous learning and improvement, the Data Engineer I will contribute to enhancing current systems and fostering innovation.

The Day-to-Day:

  • Design and implement data pipelines: Build and maintain scalable, efficient pipelines for ingesting, transforming, and storing data using AWS services like S3, Lambda, and Glue.
  • Integrate and automate workflows: Leverage IICS to create seamless data integration workflows, ensuring automation and reliable data movement across systems.
  • Collaborate with stakeholders: Work closely with cross-functional teams to gather data requirements, troubleshoot issues, and deliver solutions that meet business needs.
  • Optimize and monitor data performance: Use Fabric to analyze real-time data flows, identify performance bottlenecks, and implement improvements for faster, more efficient processing.
  • Ensure data quality and governance: Perform regular audits and validations to maintain data accuracy, consistency, and compliance with organizational standards and regulations.
  • Continuous learning and documentation: Stay up to date with the latest advancements in AWS, IICS, and Fabric technologies, while maintaining thorough documentation of data processes and workflows.

Is This You?

  • At least 1year of experience in Data Engineering role or demonstrable equivalent practical project experience.
  • Educational Background: Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
  • Technical Skills: Foundational knowledge and hands-on experience with AWS services (e.g., S3, Lambda, Glue), Informatica Intelligent Cloud Services (IICS), and Fabric.
  • Programming Skills: Proficiency in programming languages commonly used in data engineering, such as Python, SQL, or Java.
  • Data Integration and Transformation: Understanding of ETL processes and experience in designing, implementing, and troubleshooting data workflows.
  • Problem-Solving: Strong analytical skills to identify data-related issues and create effective solutions.

Work-Hard, Play-Hard:

  • Hybrid work schedule and year-round flex day Friday
  • Onsite childcare through Bright Horizons 
  • Onsite dining center and game room (yes, there is a Taco Bell inside the building) 
  • Onsite dry cleaning, laundry services, carwash, 
  • Onsite gym with fitness classes and personal trainer sessions 
  • Up to 4 weeks of vacation per year plus holidays and time off for volunteering 
  • Generous parental leave for all new parents and adoption assistance program 
  • 401(k) with a 6% matching contribution from Yum! Brands with immediate vesting 
  • Comprehensive medical & dental including prescription drug benefits and 100% preventive care
  • Discounts, free food, swag and… honestly, too many good benefits to name 

Salary Range: ­­$87,000 to $102,000 annually + bonus eligibility + equity (if applicable) + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

At Taco Bell, we Live Más and invite you to do the same. Take a seat at our table. Bring your voice. Bring you, just as you are, a Cultural Rebel. We want you to be your best self! 

Taco Bell is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity.  We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic.

Taco Bell is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.  


US Job Seekers/Employees - To view the "Know Your Rights" poster, click here: https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal.  You may also access Taco Bell’s Pay Transparency Policy Statement.

Employment eligibility to work with Taco Bell in the U.S. is required as the company will not pursue visa sponsorship for this position.

California Residents: For more information about the categories of personal information we collect from you and how we use, sell, and share that information, please see our Privacy Notice for California Employees at https://jobs.tacobell.com/wp-content/themes/jobs.tacobell.com-2024/assets/build/doc/Employee+Privacy+Notice+%28TB%29+%2820230701%29_2024%2811-15-2024%29-Final.pdf

Taco Bell will consider qualified applicants with arrest or conviction records per the fair chance acts in California, Los Angeles, and San Francisco.  Applicants for jobs in Los Angeles County can learn more by clicking here.  Philadelphia applicants can review information about Philadelphia’s fair chance act by clicking here.

Top Skills

AWS
Fabric
Iics
Java
Python
SQL
HQ

Taco Bell Irvine, California, USA Office

Irvine, CA, United States

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