Data Engineer I: Python & AWS Pipelines (Miami)

Burger King; Miami (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Restaurant Brands International Inc. is seeking a Data Engineer I to design, build, and maintain robust data pipelines and ETL processes using Python and AWS technologies.

The role requires collaboration with data scientists and analysts to ensure data accuracy and consistency, and involves in-office work five days a week in Miami, FL. Requirements include a BS in CS/engineering or related field, strong Python skills, and experience with AWS services and infrastructure-as-code tools like

Qualifications

• Bachelor’s degree in computer science, engineering, or a related field.
• Strong programming skills in Python.
• Proficient in AWS with IAM and data services like S3, Glue/EMR, Athena.
• Experience with AWS Glue and/or AWS EMR is a plus.
• Familiarity with Data Warehouse solutions such as Snowflake/Redshift.
• Knowledge of workflow orchestration tools like Airflow and/or Dagster.
• Strong problem-solving and analytical skills.
• Excellent communication.

Responsibilities

• Design, build, and maintain efficient data pipelines and ETL processes.
• Develop and maintain scalable data warehouse and data lake solutions.
• Optimize data storage and retrieval for performance and cost.
• Collaborate with data scientists and analysts to ensure data accuracy.
• Monitor and troubleshoot data pipelines and systems; resolve issues promptly.

Skills

Python

Analytical skills

Problem-solving

Communication

Education

Bachelor’s degree in computer science, engineering, or related field

Tools

AWS

Terraform

AWS CDK

Serverless Framework

AWS Glue

AWS EMR

S3

SQS

Snowflake

Redshift

Airflow

Dagster

Job description

Restaurant Brands International Inc. is seeking a Data Engineer I to design, build, and maintain robust data pipelines and ETL processes using Python and AWS technologies.

The role requires collaboration with data scientists and analysts to ensure data accuracy and consistency, and involves in-office work five days a week in Miami, FL. Requirements include a BS in CS/engineering or related field, strong Python skills, and experience with AWS services and infrastructure-as-code tools like