Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Jacksonville
Live, first seen by us 25 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design, build and maintain data pipelines and ETL processes
Monitor and troubleshoot data pipelines, fixing issues quickly
Develop and maintain scalable data warehouse solutions
Model data tables and build BI reporting dashboards
Evaluate and adopt new data engineering technologies and methods
designing, building, and maintaining robust data pipelines and ETL processes
Monitor and troubleshoot data pipelines, identifying and resolving issues promptly and efficiently.
Help develop and maintain scalable data warehouse solutions to meet growing organizational data needs.
Model data tables and build business intelligence reporting dashboards.
continuously evaluate and implement new technologies and methodologies to enhance data engineering capabilities
- 1+ years of hands-on experience in data engineering, data analytics, or a related technical field. - Bachelor’s degree in computer science, engineering, or a related field; or equivalent experience - Experience with AWS, including key services such as S3, Glue/EMR, SQS, Step Functions, etc.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 25
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience with AWS, including key services such as S3, Glue/EMR, SQS, Step Functions, etc. - Strong programming skills in SQL and Python - Experience querying and building in Snowflake with dbt
- Bachelor’s degree in computer science, engineering, or a related field; or equivalent experience - Experience with AWS, including key services such as S3, Glue/EMR, SQS, Step Functions, etc. - Strong programming skills in SQL and Python
- Strong programming skills in SQL and Python - Experience querying and building in Snowflake with dbt - Familiarity with version control, continuous integration, and infrastructure as code
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world.
Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories.
RBI owns four of the world's most prominent and iconic quick service restaurant brands – TIM HORTONS®, BURGER KING®, POPEYES®, and FIREHOUSE SUBS®. These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities.
RBI is committed to growing the TIM HORTONS®, BURGER KING®, POPEYES® and FIREHOUSE SUBS® brands by leveraging their respective core values, employee and franchisee relationships, and long track records of community support. Each brand benefits from the global scale and shared best practices that come from ownership by Restaurant Brands International Inc.
The Analyst, Data Engineer will be responsible for designing, building, and maintaining robust data pipelines and ETL processes as well as supporting the data engineering team with analytics, visualization, data governance, and ML. The Analyst will collaborate with the Software Engineering and IT teams as well as cross-functional stakeholders across Operations, Marketing, Supply Chain, and Finance to ensure data accuracy and consistency in data.
RBI follows a 5 day, in-office work schedule to support collaboration. Candidates will be expected to work onsite 5 days per week out of our office in Jacksonville, FL.
What You'll Do:
What You'll Need To Succeed:
#FirehouseSubs
Benefits at all of our global offices are focused on physical, mental and financial wellness. We offer unique and progressive benefits, including a comprehensive global paid parental leave program that supports employees as they expand their families, free telemedicine and mental wellness support.
Restaurant Brands International and all of its affiliated companies (collectively, RBI) are equal opportunity and affirmative action employers that do not discriminate on the basis of race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or veteran status, or any other characteristic protected by local, state, provincial or federal laws, rules, or regulations. RBI's policy applies to all terms and conditions of employment. Accommodation is available for applicants with disabilities upon request.
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Jacksonville
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