Data Engineer

The Coca‑Cola Company

Quick summary

Work type
On-site
Location
Atlanta, GA
Salary
$124,600–$148,200 / yr
Posted
3 days ago
Closes
Jun 25, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $164k
This role $136k
$110k most similar roles pay here $210k

This role pays less than 63% of similar roles. Most pay $126,800–$200,200 — the shaded band above. At the midpoint, this role pays about $136k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About The Coca‑Cola Company

The Coca-Cola Company is the world''s largest beverage company, producing and distributing iconic soft drinks, juices, water, and other beverages across more than 200 countries. Industry: Beverages & Consumer Goods

The Coca‑Cola Company currently has 42 open roles on FindRole.

Listed pay typically runs $152,000–$178,300 across 41 roles with salary data.

Most-posted roles

View all roles at The Coca‑Cola Company

At a glance

TL;DR · Data Engineer

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Join Coca-Cola’s North America Operating Unit as a Data Engineer on our dynamic product team, where you will build and maintain data pipelines for transaction driver models that optimize beverage activations across retail, foodservice, and digital channels. Your day-to-day involves ingesting, cleaning, transforming, and publishing data to support reporting, analysis, and machine learning use cases, ensuring high data quality through rigorous checks and documentation. You’ll work with SQL, Python, dbt, and other tools while collaborating closely with Product, Analytics, and Engineering teams to shape solutions and drive incremental improvements in pipeline performance, cost, and reliability. Ideal candidates have 2+ years of experience in data engineering or analytics engineering, strong SQL skills, proficiency in Python, and familiarity with modern data platforms like Snowflake or BigQuery.

Skills

SQL Python Git dbt Airflow Snowflake BigQuery Databricks Spark CI/CD Data Warehousing Data Lakehouse Dimensional Modeling Event Modeling Data Quality Testing Data Governance Machine Learning ML Workflow Support Feature Engineering Experimentation

What you'll do

  • Build and maintain batch and streaming data pipelines for ingestion into analytical platforms.
  • Develop transformations to clean, standardize, and enrich data using SQL and Python.
  • Implement and monitor data quality checks and observability for pipeline health.
  • Document datasets and transformations clearly to ensure usability by others.
  • Drive incremental improvements in pipeline performance, reliability, and cost efficiency.

What we're looking for

  • Minimum 2+ years experience in data engineering or analytics engineering.
  • Proficient in SQL and Python with attention to code quality and collaboration.
  • Familiarity with modern data platforms and ETL tools like dbt and Airflow.
  • Experience in data modeling, dimensional modeling, and event modeling concepts.
  • Understanding of data quality testing, monitoring, and observability practices.
  • Exposure to machine learning workflows for training data preparation.

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