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The Coca-Cola Company logo

Consultant, Data & Digital Solutions Engineer

The Coca-Cola Company

Atlanta, GAJobSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Atlanta, GA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

The Data and Digital Solution Engineer supports data engineering development and operations for The Coca-Cola Company’s TISC Services team, which delivers analytical products for Technical Innovation & Supply Chain. The role builds data-centric solutions and works with technology and business teams to deliver projects. It also contributes to architecture, data modeling, dashboard design, application development, production support, and modernization.

Skills & qualifications

RequiredNice to have

Skills

SQL, requiredRelational Databases, requiredData Modeling, requiredData Warehousing, requiredMicrosoft Fabric, requiredPower BI, requiredAzure Services, requiredPower Apps, requiredPower Automate, requiredGit, requiredCI/CD, requiredDevOps, requiredAgile Delivery, requiredPython, requiredPySpark, requiredAnalytical Skills, requiredTroubleshooting, requiredCommunication, requiredStakeholder Management, requiredSupply Chain Knowledge, nice to haveAnalytics Domain Knowledge, nice to have

Qualifications

Bachelor's in Listed or Related Field, required2+ Years Relevant Experience, required

Full job description

We are looking for a hands-on Data and Digital Solution Engineer who can help with data engineering development and support operations. This role is part of The Coca-Cola Company’s TISC Services team, which delivers analytical products and solutions for the Technical Innovation & Supply Chain (TI&SC) function.

You will build data-centric solutions that provide actionable business insights and deepen analytic capabilities for the TI&SC function. You will also work cross functionally with technology and business teams to align on deliverables and ensure projects are delivered as agreed. You will participate in discussions including Cloud Data Architecture, Data Modeling, Dashboard Design and End to End Application Development.

What You’ll Do for Us

  • Build, deploy, and support scalable data pipelines, Lakehouse and Data Warehouse solutions, semantic models, and analytics products using Microsoft Fabric and Azure.

  • Maintain and enhance Power Apps, Power Automate, Power BI, web applications, and integrations while modernizing legacy solutions.

  • Provide production support, investigate incidents, perform root-cause analysis, and coordinate testing, releases, and deployments.

  • Apply enterprise CoE guardrails while developing solutions, maintain technical documentation, and identify opportunities for continuous improvement.

  • Leverage Codex or other agentic tools to improve delivery speed and quality.

  • Structure code, documentation, and architecture records for effective use by AI coding agents.

Qualifications & Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field.

  • Two or more years of experience in data engineering, analytics engineering, application development, business process automation, or a related discipline.

  • Hands-on experience with SQL, relational databases, data modeling, data warehousing, Microsoft Fabric, Power BI, and Azure services.

  • Strong understanding of Power Apps, Power Automate, Git, CI/CD, DevOps, and agile delivery practices.

  • Programming experience with Python, PySpark, or a comparable language.

  • Strong analytical, troubleshooting, communication, and stakeholder-management skills; supply chain or analytics domain knowledge is preferred.

What Success Looks Like

  • Hands-on, curious, adaptable, and customer-focused.

  • Comfortable working across data engineering, digital applications, analytics, and production support.

  • Able to manage competing priorities, solve problems independently, and deliver high-quality outcomes.

  • Effective at collaborating across technical and business teams and translating needs into practical solutions.

  • Committed to continuous learning and growth in Microsoft Fabric, Azure, Power Platform, web, and AI technologies.

What We’ll Do For You

  • Purpose Driven: Purpose-driven approach that empowers our people to protect the environment and communities we serve while delivering safe & quality products.

  • Global Connections: You can develop, enhance, and maintain global connections to move faster and learn from others.

  • Community of Belonging: We’re an organization that believes our ability to continually grow and build the right atmosphere where people feel safe and empowered lets you bring your best self to work.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

How this job compares

Set against the 2,958 open Data Engineering jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This postingNot listed
  • Georgia median$120–207K/yr58 salary ranges
  • US median$46–52/hr101 hourly ranges
Openings
Olive Jobs lists 87 open Data Engineering jobs in Georgia and 2,958 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Georgia
Experience
This posting asks for at least 2 years of experience — less than three in four Data Engineering postings that state a minimum ask for (median 5 years, across 2,528 postings).
Education
This posting asks for a bachelor's degree; 1,177 of the 2,958 open Data Engineering jobs (40%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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