Data Engineer III

Job Description
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 8,500+ 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
Taco Bell is seeking to add a savvy Data Engineer to join our growing Data and Analytics team. We are looking for a self-driven Data Engineer proficient with SQL & ETL pipelines who is familiar with Cloud technology preferably AWS and has scripting experience. You will work with cross functional partners and third-party vendors to enrich our customer data assets by acquiring, organizing, and aggregating customer data from various sources to construct a full and accurate 360 view of our customer for use in direct/email marketing, targeted media campaigns and analytics. You will build data pipelines to source, analyze and validate data from internal and external customer data sources. This is a great opportunity to work on state-of-the-art data products in a friendly and fun environment.
Day To Day

Design and develop highly scalable and extensible data pipelines from internal and external sources using cloud technology such as AWS, Airflow, Redshift, Snowflake, EMR, DBT.
Implement new source of truth datasets, in partnership with analytics and business teams.
Collaborate with data product managers, data scientists, data analysts, and data engineers to document requirements and data specifications.
Develop, deploy, and maintain serverless data pipelines using Event Bridge, Kinesis, AWS Lambda, S3, and Glue.
Focus on performance tuning, optimization and scalability to ensure efficiency.
Build out a robust big data ingestion framework with automation, self-heal capabilities and ability to handle data drifts.
Adopt automated and manual test strategies to ensure data product quality
Learn and understand how Taco Bell products work and help build end-to-end solutions.
Ensure high operational efficiency and quality of your solutions to meet SLAs.
Actively participate in code reviews and summarize complex data into usable, digestible datasets.
Is This You?

Bachelor’s degree in analytics, statistics, engineering, math, economics, computer science, information technology or related discipline
2+ years professional experience in cloud technologies
2 - 5 years of experience designing and delivering large scale, 24-7, mission-critical data pipelines and features using modern cloud data architectures
2+ years of hands-on experience in Strong coding skills with Python/Pyspark/Spark and SQL
3+ years of hands-on experience in ETL pipeline such as Informatica, AWS Glue, DBT etc.
3+ years of experience working in Redshift, Snowflake or other relevant databases.
Expert knowledge in writing complex SQL and ETL development with experience processing extremely large datasets using batch and real time streaming.
Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
Experience integrating data using streaming technologies such as Kinesis Firehose, Kafka
Experience with AWS Ecosystem, especially Lambda, Redshift, Athena, DynamoDB, Airflow and S3
Experience integrating data from multiple data sources and file types such as JSON, Parquet, Iceberg formats.
Experience supporting and working with cross-functional teams in a dynamic environment
Strong quantitative and communication skill
Experience with CI/CD tools like Gitlab, Terraform
Good To Have:
Proficiency with automated testing using tools like pytest
Experience contributing to full lifecycle deployments with a focus on testing and quality.
Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement
Experience in data quality tools such as Informatica DQ or similar.
Work-Hard, Play-Hard

Hybrid work schedule (onsite expectation Tues, Wed, Thurs) 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: $108,300- $127,500 annually + bonus eligibility. This is the expected salary range for this position. Ultimately, in determining pay, we'll consider the successful candidate’s 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 . 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 here .