Lead Data & Machine Learning Engineer

The Coca-Cola Company; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

The Coca-Cola Company seeks a Lead Data Engineer to steer data product development and ML lifecycle across enterprise systems. You will guide a team of engineers, architect scalable web apps using React and Java-based APIs, and integrate Salesforce, CRM, and databases to deliver intelligent product capabilities.

We expect 5–10 years in software, data, or ML, with strong Java/Python, TypeScript, SQL, and DevOps experience.

Qualifications

• 5-10 years of professional software engineering experience, with experience spanning application development, data, or machine learning systems.
• Strong programming experience at least one enterprise application development language such as Pyton, 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 and developing REST APIs and backend services.
• Strong SQL skills and experience with relational databases such as 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.
• Strong software engineering fundamentals including modular design, testing, code reviews, debugging, and maintainability.
• Ability to work across Product, Data, Architecture, Business, and Engineering teams to translate requirements into production solutions.
• Experience using CI/CD tools – GitHub, GoCD, Terraform and/or Azure DevOps
• Solid knowledge about data modeling and architecture
• Knowledge with developing applications using public cloud, preferably Azure, specially focused in Data Services (CosmosDB, DynamoDB, Databricks, Glue, DataLake, Redshift, Azure Synapse etc.)
• Understand Agile Scrum, CI/CD, DevOps best practices
• Solid understanding of Git-based version control

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.
• Data & Machine Learning Engineering.
• Work with data from enterprise data platforms, customers, and external data providers to develop intelligent product capabilities.
• Develop data preparation, transformation, and feature engineering pipelines.
• Build predictive, classification, ranking, recommendation, segmentation, or forecasting models based on business requirements.
• Evaluate when to use traditional machine learning versus advanced techniques such as deep learning, transformers, computer vision, embeddings, vector search, or RAG.
• Develop batch or online model inference pipelines and services.
• Expose model predictions and recommendations through APIs for consumption by Salesforce, CRM, web, and mobile applications.
• Implement model and data validation, automated testing, and quality controls.
• Production Engineering & MLOps
• Build CI/CD pipelines for application and machine learning workloads.
• Support experiment tracking, model versioning, deployment, and lifecycle management.
• Monitor applications and models for availability, performance, data quality, and model degradation or drift.
• Support production solutions and troubleshoot issues across systems.
• Improve scalability, reliability, security, observability, and maintainability.
• Own capabilities throughout their lifecycle, from requirements through production support and continuous improvement.

Skills

Software engineering

Java

Python

JavaScript/TypeScript

React

SQL

Data pipelines

ML frameworks

CI/CD

Azure

Git

Tools

GitHub

GoCD

Terraform

Azure DevOps

Job description

The Coca-Cola Company seeks a Lead Data Engineer to steer data product development and ML lifecycle across enterprise systems. You will guide a team of engineers, architect scalable web apps using React and Java-based APIs, and integrate Salesforce, CRM, and databases to deliver intelligent product capabilities.

We expect 5–10 years in software, data, or ML, with strong Java/Python, TypeScript, SQL, and DevOps experience.