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# Data Engineer I

- **Company:** RBI Corporation
- **Location:** Miami, FL, United States
- **Experience:** Starter
- **Contract:** Franchise
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Computer Programming, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Software Engineering, Data Streaming, Data Storage Management, Snowflake, Cloudformation, Data Lakes, Information Technology, AWS Glue, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Serverless Computing, Amazon Elastic Mapreduce (EMR)
- **Published:** August 10, 2026
- **Apply:** https://www.dice.com/job-detail/8d1c1feb-ac6d-4237-b2e9-311bb3c81272

## About the Role

* Bachelor's degree in computer science, engineering, or a related field; equivalent experience in the software engineering field will also be considered.
 * Strong programming skills in Python.
 * Proficient in AWS, with the ability to design and architect AWS Infrastructure as Code using Terraform, AWS Cloudformation, CDK, or Serverless Framework. Experience with AWS services such as S3, KMS, Glue/EMR, SNS, SQS, and Athena is essential.
 * Experience working with AWS Glue and/or AWS EMR is a plus.
 * Familiarity with Data Warehouse solutions, including Snowflake and/or Redshift.
 * Knowledge of workflow orchestration tools such as Airflow and/or Dagster.
 * Strong problem-solving and analytical skills.
 * Excellent communicatio

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.

## Description

As a Data Engineer I, you will be responsible for designing, building, and maintaining robust data pipelines and ETL processes. This role requires strong programming skills in Python, and proficiency in AWS technologies, including Infrastructure as Code and key services such as S3, KMS, Glue/EMR, SNS,SQS, and Athena. Collaboration with data scientists and analysts to ensure data accuracy and consistency is a crucial aspect of this role.

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 Miami, FL.

What You'll Do:

 * Design, build, and maintain efficient data pipelines and ETL processes to facilitate
 * seamless data flow.
 * Develop and maintain scalable data warehouse and data lake solutions to meet
 * growing organizational data needs.
 * Optimize data storage and retrieval processes for enhanced performance and cost
 * efficiency.
 * Collaborate closely with data scientists and analysts to support their analytical
 * requirements and ensure data accuracy and consistency.
 * Monitor and troubleshoot data pipelines and systems, identifying and resolving issues
 * promptly.


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