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The Coca-Cola Company · 14 hours ago

Senior Data Engineer

Atlanta, GA

Full-time

Onsite

Mid, Senior Level

$125K/yr - $148K/yr

5+ years exp

The Coca-Cola Company is a global organization that manufactures concentrates and beverage bases for bottling partners. The Senior Data Engineer will be responsible for the design, development, and operational excellence of the CPS data platform, providing hands-on technical leadership and enabling scalable data solutions across global operations.

Consumer GoodsFast-Moving Consumer GoodsFood and BeverageManufacturing

Comp. & Benefits

No H1B

U.S. Citizen Only

Responsibilities

Serve as the senior-most individual contributor and subject matter expert for data engineering solutions across CPS

Own the technical architecture, design decisions, and implementation of the CPS data platform

Design, develop, and optimize data pipelines using Azure Data Factory (ADF)

Build and maintain high-performance, scalable data transformations using PySpark, SQL, and Python

Actively contribute code and review/approve pull requests, setting quality and engineering standards

Define, enforce, and evolve data engineering best practices, standards, and architectural patterns

Partner with CPS stakeholders, plant teams, and analytics partners to translate business needs into technical solutions

Lead technical design reviews and provide mentorship and guidance to engineers without direct people management

Ensure data quality, reliability, monitoring, observability, and performance of production data pipelines

Influence roadmap planning, estimation, and prioritization for data engineering initiatives

Drive simplification, standardization, and long-term maintainability of data pipelines

Qualification

PythonSQLPySparkAzure Data FactoryData WarehousingData ArchitectureCloud-native platformsCI/CDDevOps practicesAnalytical modelingData ModelingCritical thinkingProblem-solving

Required

5+ years of experience in data engineering, analytics engineering, or software engineering

Bachelor's degree in computer science, Engineering, or a related technical field required

Expert-level proficiency in Python, SQL, and PySpark

Hands-on experience with Databricks, Snowflake, or similar analytics platforms

Strong understanding of data warehousing concepts, analytical modeling, and performance optimization

Expertise in orchestration frameworks such as Azure Data Factory (ADF), AWS Glue, or similar

Deep understanding of data architecture, ETL/ELT design, and scalable data modeling

Experience with cloud-native platforms, CI/CD, and DevOps practices

Familiarity with data observability, lineage, and monitoring tooling

Ability to provide technical leadership through code, reviews, and design guidance

Excellent critical thinking, analytical and problem-solving skills