Java Software Engineer

The Coca-Cola Company • Atlanta, GA

2d

About The Position

The Data Engineer will design, build, and maintain scalable data solutions that support analytics, reporting, machine learning, and data-driven decision-making. Working with Product, Analytics, Data Science, and Engineering teams, this role develops trusted datasets, reliable data pipelines, and scalable data platforms, transforming raw data into high-quality, actionable information while ensuring performance, quality, governance, and operational excellence.

The role uses Java, Python, SQL, and cloud-native data engineering patterns to build data pipelines, models, and products. It also applies software engineering practices such as modular design, automated testing, version control, CI/CD, and code review. Data workloads are built and deployed on Azure services, and production operations include deployment automation, monitoring, logging, alerting, and operational controls. The position contributes to engineering standards, design reviews, and documentation, and identifies ways to improve the reliability, scalability, and efficiency of the data ecosystem.

The position is with The Coca-Cola Company in Atlanta, United States. Travel is listed as 00%–25%. Relocation is not provided. Applicants must already be authorized to work full time in the United States and must not require company sponsorship to continue working legally in the country.

Requirements

• Bachelor’s degree in computer science, Engineering, Information Systems, or a related field.
• At least 3 years of experience in Data Engineering, Analytics Engineering, Software Engineering, or related disciplines.
• Strong proficiency in Python and SQL; familiarity with Java or other backend programming languages is preferred.
• Proven experience building batch and streaming data pipelines, transformation frameworks, data models, and reusable data engineering components.
• Hands-on experience with Azure data services such as ADLS, ADF, Synapse, Databricks, Microsoft Fabric, or equivalent cloud data platforms.
• Strong understanding of design patterns, modular coding, error handling, automated testing, CI/CD, Git-based workflows, and production-grade engineering practices.
• Experience implementing data validation, monitoring, logging, lineage, and alerting to support trusted and reliable data products.
• Familiarity with Git, CI/CD pipelines, containerization concepts, and deployment automation for data engineering workloads.
• Must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company’s sponsorship to continue working legally in the United States.

Nice To Haves

• Experience with Azure Synapse, Databricks, Snowflake, BigQuery, Redshift, or similar platforms.
• Experience with orchestration tools such as Airflow, Synapse Pipelines, Dagster, or dbt.
• Familiarity with CI/CD, Infrastructure as Code, and DevOps practices.
• Experience supporting machine learning workflows through feature engineering and training data preparation.
• Exposure to data observability, monitoring, testing, and governance tools.
• Knowledge of event-driven architecture and real-time data processing.
• Azure Data Engineer or equivalent cloud certification.

Responsibilities

• Design, build, and maintain scalable data pipelines, data models, and data products using Java, Python, SQL, and cloud-native data engineering patterns.
• Apply coding standards, modular design, automated testing, version control, CI/CD, and code review practices to data engineering solutions.
• Build and deploy data workloads on Azure platforms such as ADLS, Azure Data Factory, Synapse, Databricks, Microsoft Fabric, and related services as applicable.
• Implement deployment automation, monitoring, logging, alerting, and operational controls to keep production data pipelines and services stable.
• Collaborate with platform teams to improve tooling, automation, CI/CD, monitoring, and observability.
• Use version control and software engineering best practices to maintain high-quality code.
• Partner with Product Managers, Analysts, Data Scientists, and Software Engineers to deliver business value.
• Contribute to data engineering standards, design reviews, and documentation.
• Identify opportunities to improve reliability, scalability, and efficiency across the data ecosystem.

Benefits

• A full range of medical, financial, and/or other benefits is offered, dependent on the position.
• Annual incentive reference value of 7.5%, described as a market-based competitive value at target.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level