Atlanta Data Engineer: Build Scalable Pipelines & Trusted Analytics

coke; Atlanta (GA); On-site; USD 93,000 - 123,000; Full time

Job summary

The Coca-Cola Company is seeking a Data Engineer to design, build, and maintain scalable data solutions powering analytics, ML, and reporting. You will collaborate with Product, Analytics, Data Science, and Engineering to develop trusted datasets and reliable pipelines, ensuring governance and operational excellence.

You will leverage Azure data services and modern engineering practices to deliver high-quality data products and maintain observability, with a strong focus on reliability and

Qualifications

• Bachelor’s degree in CS/Engineering or related field.
• 3+ years in Data/Analytics/Software Engineering or related.
• Proficiency in Python and SQL; Java familiarity preferred.
• Experience building batch and streaming data pipelines; data models.

Responsibilities

• Design, build, and maintain scalable data pipelines and models.
• Apply coding standards, testing, CI/CD, and code reviews to data solutions.
• Build data workloads on Azure: ADLS, ADF, Synapse, Databricks, Fabric.
• Ensure reliable deployment, monitoring, and governance of data pipelines.

Skills

Data Engineering

Python

SQL

Java

Azure

DevOps

Git

Data Quality

Observability

Collaboration

Independent Work

Education

Bachelor’s degree in computer science, Engineering, Information Systems, or a related field

Tools

Azure Data Factory

Azure Synapse

Databricks

Microsoft Fabric

Airflow

dbt

Job description

The Coca-Cola Company is seeking a Data Engineer to design, build, and maintain scalable data solutions powering analytics, ML, and reporting. You will collaborate with Product, Analytics, Data Science, and Engineering to develop trusted datasets and reliable pipelines, ensuring governance and operational excellence.

You will leverage Azure data services and modern engineering practices to deliver high-quality data products and maintain observability, with a strong focus on reliability and