Software Engineer
The Coca-Cola Company22 hours ago
Atlanta, GA, USAMid Level
Base Salary
$93k - $123k/yr
Responsibilities
- Design, build, and maintain scalable batch and streaming data pipelines, data models, data products, and reusable data engineering components.
- Develop and deploy Azure-based data workloads using services such as ADLS, Azure Data Factory, Synapse, Databricks, and Microsoft Fabric.
- Apply software engineering practices including modular design, automated testing, version control, CI/CD, code reviews, and production-grade coding standards.
- Implement data validation, monitoring, logging, lineage, alerting, observability, and operational controls for reliable production data services.
- Collaborate with platform teams to improve tooling, automation, deployment, CI/CD, monitoring, and observability.
- Partner with Product, Analytics, Data Science, and Engineering teams to deliver trusted datasets and business value.
- Contribute to data engineering standards, design reviews, documentation, and improvements to reliability, scalability, and efficiency.
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, with familiarity with Java or other backend programming languages preferred.
- 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, Azure Data Factory, Synapse, Databricks, Microsoft Fabric, or equivalent cloud data platforms.
- 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 for reliable data products.
- Familiarity with containerization concepts and deployment automation for data engineering workloads.
- Preferred experience with Snowflake, BigQuery, Redshift, Airflow, Synapse Pipelines, Dagster, dbt, infrastructure as code, DevOps practices, machine learning feature engineering, training data preparation, data governance, event-driven architecture, real-time data processing, and Azure Data Engineer or equivalent cloud certification.
- Strong ownership, accountability, communication, collaboration, and continuous-improvement skills.
Benefits
- Medical, financial, and/or other benefits are offered depending on the position.
- The position is located in Atlanta, United States, requires 0%–25% travel, and does not provide relocation.
- The employer states that it is an equal opportunity employer and supports an inclusive, growth-oriented culture.
Tech Stack
Amazon RedshiftApache AirflowApache SparkAWSAzureDatabricksdbtGitGitHub ActionsGoogle BigQueryGoogle Cloud PlatformJavaPythonScalaSnowflakeSQL
Categories
Data Engineering
About The Coca-Cola Company
The Coca-Cola Company is a global beverage manufacturer and brand owner that sells soft drinks, waters, juices, sports drinks, coffee, and dairy to consumers via retail and foodservice, largely through a franchised bottling system. Founded in 1892 and headquartered in Atlanta, it is a public company traded on the NYSE (KO) with products sold in over 200 countries and territories.