Lead Data & ML Engineer

0101 Coca-Cola North America; Atlanta (GA); On-site; USD 171,000 - 198,000; Full time

Job summary

Coca-Cola North America in Atlanta is seeking a Lead Data Engineer to serve as a technical lead for data products and ML engineering within a modern digital ecosystem. You will design scalable data pipelines, build REST APIs, and collaborate across Product, Data, Architecture, and Engineering to translate requirements into production solutions while advancing CI/CD and MLOps.

This role emphasizes hands-on development with Python, Java/Scala, SQL Server, and cloud data services, with a focus on

Qualifications

• 5–10 years of professional software engineering experience spanning application development, data, or ML systems.
• Strong programming experience in at least one enterprise language such as Python, Java, C#, or equivalent.
• Strong experience with JavaScript/TypeScript and modern web development.
• Hands-on experience with React or a comparable modern frontend framework.
• Experience designing REST APIs and backend services.
• Strong SQL skills and experience with SQL Server.
• Experience developing data pipelines, transforming datasets, and performing feature engineering.
• Practical experience developing machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or equivalent.
• Experience taking machine learning solutions beyond experimentation into production inference.
• Experience integrating multiple enterprise systems using APIs and modern integration patterns.
• Experience with automated testing, containers, monitoring, and production support.
• Experience using CI/CD tools – GitHub, GoCD, Terraform and/or Azure DevOps.

Responsibilities

• Design and develop scalable web applications using React, TypeScript/JavaScript, HTML, and CSS.
• Build backend services and REST APIs using technologies such as Java/Spring Boot, Python, .NET, or equivalent.
• Design and develop integrations among Salesforce, web and mobile applications, CRM platforms, databases, and enterprise systems.
• Work with relational databases such as SQL Server, including data modeling, queries, and application integration.
• Build secure API-driven solutions using modern authentication and authorization patterns.
• Work with data from enterprise data platforms to develop intelligent product capabilities.
• Develop data preparation, transformation, and feature engineering pipelines.
• Build predictive, classification, ranking, recommendation, segmentation, or forecasting models.
• Expose model predictions through APIs for consumption by Salesforce, CRM, web, and mobile apps.
• Implement model and data validation, automated testing, and quality controls.
• Build CI/CD pipelines for application and ML workloads.
• Monitor applications and models for availability, performance, data quality, and drift.

Skills

Python

Java

Scala

SQL

React

TypeScript

JavaScript

Azure Devops

GitHub

Terraform

Databricks

PyTorch

TensorFlow

scikit-learn

GoCD

Tools

SQL Server

REST APIs

Job description

Coca-Cola North America in Atlanta is seeking a Lead Data Engineer to serve as a technical lead for data products and ML engineering within a modern digital ecosystem. You will design scalable data pipelines, build REST APIs, and collaborate across Product, Data, Architecture, and Engineering to translate requirements into production solutions while advancing CI/CD and MLOps.

This role emphasizes hands-on development with Python, Java/Scala, SQL Server, and cloud data services, with a focus on