1760 Coca-Cola Mesrubat Pazarlama Danismanlik Sanayi ve Ticaret A.S.

Data/Machine Learning Engineer II at 1760 Coca-Cola Mesrubat Pazarlama Danismanlik Sanayi ve Ticaret A.S.

Compensation · Listed in posting

$171,000 – $198,000/yr

Location: Atlanta, Georgia
Type: Full-time
Level: lead/mgmt
Posted: Oct 1, 2026

Description

The Lead Data Engineer will lead a team of data engineers and serve as a subject matter expert for data products. The role combines application development with React, TypeScript, JavaScript, HTML, and CSS; backend services and REST APIs; Salesforce and enterprise integrations; SQL and relational databases; data pipelines, feature engineering, and machine learning models; and production MLOps, including CI/CD, monitoring, deployment, and troubleshooting. The position is based in Atlanta, United States, requires 5–10 years of professional software engineering experience, and offers a base pay range of 171,000–198,000 USD with relocation support.

Required Skills

React
TypeScript
REST APIs
SQL Server
Data pipelines
Machine learning
CI/CD
Azure DevOps
Terraform
Data modeling

Additional Information

Required Previous Experiences: 5–10 years of professional software engineering experience spanning application development, data, or machine learning systems
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
Experience using CI/CD tools such as GitHub, GoCD, Terraform, or Azure DevOps
Knowledge of data modeling and architecture
Experience developing applications using public cloud data services, preferably Azure
Preferred Qualifications: Azure cloud experience