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Data Modeling Internship Jobs in Georgia (NOW HIRING)

The Coca-Cola Company

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Well-documented datasets and basic semantic models that enable reporting and analysis * Data ... internships or equivalent projects) * Ability to write production-quality SQL and create reliable ...

Coca-Cola

Data Engineer

Atlanta, GA

$110K - $132K/yr

Well-documented datasets and basic semantic models that enable reporting and analysis * Data ... internships or equivalent projects) * Ability to write production-quality SQL and create reliable ...

PRGX Global, Inc.

Data Scientist

Atlanta, GA · On-site

Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ... guide interns on the team. · Other duties as assigned. Knowledge & Qualifications · Master of ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

Job Duties & Responsibilities • Apply machine learning algorithms and statistical models to large ... guide interns on the team. • Other duties as assigned. Knowledge & Qualifications • Master of ...

PRGX Global, Inc

Data Scientist

Atlanta, GA

Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ... guide interns on the team. · Other duties as assigned. Knowledge & Qualifications · Master of ...

State Farm

Data Scientist

Dunwoody, GA · Hybrid

Develops models that support State Farm's insurance pricing and underwriting decisions Data Science ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

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Data Modeling Internship information

Is 20 an hour good for an internship?

For a Data Modeling Internship, earning $20 an hour is generally considered above average for internships, which often pay between minimum wage and $15 per hour. However, pay rates vary based on location, company, and required skills such as SQL or data analysis tools, so it's important to consider the cost of living and industry standards in your area.

How much do data modelers make?

Data modelers typically earn a median salary ranging from $70,000 to $110,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data architecture and modeling tools can earn higher salaries.

What is a Data Modeling Internship?

A Data Modeling Internship is a temporary position for students or recent graduates to gain practical experience in designing and structuring data for use in databases and information systems. Interns typically work with data architects and analysts to create data models, which help organize and manage data efficiently for businesses. This role often involves learning about different data modeling techniques, using specialized software tools, and supporting projects that improve data quality and accessibility. The internship provides valuable exposure to real-world data challenges and prepares individuals for future roles in data management and analytics.

What are the 4 types of data modeling?

The four main types of data modeling are conceptual, logical, physical, and view models. Conceptual models define high-level data structures, logical models detail data relationships and constraints, physical models specify how data is stored in databases, and view models focus on specific user perspectives. Data modeling skills are essential for data analysts and database developers during the internship process.

What are the big 4 internships?

The Big 4 internships typically refer to internship programs offered by Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms are among the largest professional services networks globally and offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for aspiring professionals in fields like data modeling and analytics.

What is the difference between Data Modeling Internship vs Data Analyst Internship?

AspectData Modeling InternshipData Analyst Internship
Required SkillsData modeling, database design, SQL, data warehousingData analysis, Excel, SQL, visualization tools
Work EnvironmentData teams, IT departments, database environmentsBusiness units, analytics teams, reporting environments
Industry UsageTech, finance, healthcare, where data structure design is keyMarketing, finance, retail, focusing on data insights

While both internships involve working with data, a Data Modeling Internship focuses on designing and structuring data systems, whereas a Data Analyst Internship emphasizes analyzing data to generate insights. The choice depends on whether you prefer working on database architecture or data interpretation.

What are the key skills and qualifications needed to thrive as a Data Modeling Intern, and why are they important?

To thrive as a Data Modeling Intern, you need a solid understanding of database concepts, data structures, and proficiency in SQL, often supported by coursework in computer science or data analytics. Familiarity with data modeling tools like ERwin, Microsoft Visio, or Lucidchart, and experience with relational database management systems (RDBMS) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate with teams and translate business requirements into data models. These skills are essential for creating accurate, scalable data models that support efficient data storage, retrieval, and analysis in organizational projects.

What types of projects and responsibilities can I expect during a Data Modeling Internship?

As a Data Modeling Intern, you can expect to work closely with data engineers and analysts to design, build, and refine data models that support business intelligence and analytics initiatives. Typical responsibilities include gathering requirements, creating entity-relationship diagrams, normalizing databases, and assisting in the documentation of data flows. You'll also have opportunities to participate in meetings with cross-functional teams, learn best practices for database design, and contribute to ongoing data quality improvement efforts. This hands-on experience provides valuable exposure to real-world data challenges and helps build a strong foundation for a career in data management.
What are popular job titles related to Data Modeling Internship jobs in Georgia? For Data Modeling Internship jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Modeling Internship jobs in Georgia look for? The top searched job categories for Data Modeling Internship jobs in Georgia are:
What cities in Georgia are hiring for Data Modeling Internship jobs? Cities in Georgia with the most Data Modeling Internship job openings:
Data Modeling Internship jobs near you
Data Engineer

Data Engineer

The Coca-Cola Company

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 6 days ago

Coca-Cola Consolidated rating

7.2

Company rating: 7.2 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

168th of 383 rated food and drinks producers

Job description

Job Description Summary:
Digital products play a central role in how we create value for customers, support the teams who serve them, and shape the consumer experience.
Our product organization brings together small, empowered teams that move with clarity, speed, and purpose, enabling digital to be a meaningful source of advantage across Coca-Cola's North America Operating Unit.
Our work spans customer journeys, service delivery, sales workflows, and the platforms that connect them. We are raising our standards for product craft and rebuilding the systems behind these experiences. In this role, you will build, own and help transform:
  • Data pipelines and transformations for a defined domain (ingest, clean, transform, publish)
  • Well-documented datasets and basic semantic models that enable reporting and analysis
  • Data quality checks (freshness, completeness, validity) and participation in monitoring/alerting
  • Datasets that support machine learning use cases (e.g., feature and label tables) with clear definitions
  • Incremental improvements to pipeline performance, cost, and reliability with guidance
  • Collaboration with partners to clarify requirements and iterate on data products

What You Will Work On
Build ML-powered data products that model transaction drivers and surface optimized actions as insights to be embedded within integrated internal and external digital experiences that shape how our beverage brands activate across retail, foodservice, and digital channels. The success of our products is tied directly to measurable transaction lift at the point of sale, a primary objective of the North America Operating Unit and The Coca-Cola Company as a whole.
How We Work
You'll be part of a dedicated, cross-functional team (Product, Design, Engineering) that is:
  • Empowered to solve problems, not just build features
  • Accountable for outcomes, not output
  • Collaborative by default, from discovery through delivery
  • Continuously learning, using data and customer insight to improve

Key Responsibilities
  • Partner in Data Discovery & Solution Shaping
  • Partner with Product, Analytics, and Engineering to understand data needs, definitions, and success metrics
  • Learn source systems and data flows; help map entities, identifiers, and key business rules
  • Contribute to data modeling and design decisions with guidance (schemas, grain, slowly changing dimensions, etc.)
  • Propose simpler, more reliable approaches (e.g., reuse shared datasets, standardize definitions) to improve trust and usability

Build & Maintain Data Pipelines
  • Build and maintain batch and/or streaming pipelines to ingest data from source systems into our analytical platform
  • Develop transformations to clean, standardize, and enrich data using agreed-upon patterns and tools (e.g., SQL, Python, dbt)
  • Contribute to pipeline orchestration and deployment (version control, code reviews, scheduled runs) and follow team standards
  • Support ML workflows by helping produce curated training datasets and feature-ready tables, following established patterns
  • Help monitor pipeline health and data quality; investigate failures with guidance and improve runbooks and alerts over time

Own End-to-End Data Outcomes
  • Implement and maintain data quality checks and basic observability (tests, audits, monitoring) for pipelines you contribute to
  • Document datasets and transformations (definitions, lineage, caveats) so others can confidently use and interpret the data
  • Help ensure ML datasets are reproducible by supporting basic versioning/lineage and clearly documenting training data assumptions
  • Drive incremental improvements to reliability, performance, and cost; follow data access, privacy, and retention guidelines

Contribute to a Strong Data Culture
  • Help evolve data standards (naming conventions, modeling patterns, documentation) to improve consistency and reuse
  • Promote a culture of data trust through quality checks, clear definitions, and thoughtful change management
  • Collaborate with platform partners to leverage shared tooling and improve the developer experience for data workflows

What We're Looking For
  • Strong SQL fundamentals (joins, aggregation, window functions, performance basics)
  • Data modeling mindset: Cares about clear definitions, grain, and making data usable
  • Pragmatic problem solving: Debugs issues, makes sensible tradeoffs, and knows when to ask for help
  • Ownership: Takes responsibility for assigned datasets/pipelines and follows through to production
  • Collaboration: Works effectively with analytics, product managers, and software engineers to deliver trusted data
  • Machine learning exposure (a plus): Familiarity with features/labels, experimentation, and the importance of reproducible training data

Key Qualifications
  • minimum of 2+ years of experience in data engineering, analytics engineering, or software engineering (including internships or equivalent projects)
  • Ability to write production-quality SQL and create reliable transformations with attention to correctness
  • Proficiency in Python (or similar) and comfort using Git and code reviews to collaborate
  • Familiarity with data platforms (data warehouse/lakehouse concepts), and exposure to orchestration/ETL tools (e.g., Airflow, dbt, Spark) is a plus

Preferred Qualifications
  • Experience working with a modern data warehouse/lakehouse (e.g., Snowflake, BigQuery, Databricks) through coursework or projects
  • Exposure to transformation and orchestration tools (e.g., dbt, Airflow) and analytics engineering practices
  • Understanding of dimensional modeling and/or event modeling concepts (fact/dimension tables, star schemas)
  • Exposure to data quality testing, monitoring, or observability concepts
  • Familiarity with data governance concepts (PII handling, access controls, retention) and a willingness to learn policies
  • Exposure to machine learning workflows (training data preparation, feature tables, model experimentation support)
  • Familiarity with modern engineering practices (CI/CD, testing, observability)

Education
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Equivalent practical experience is equally valued

Who Thrives Here
  • Care about data accuracy and trust, and are curious about how data is used to make decisions
  • Enjoy collaborating with analytics, product, and engineering partners to clarify definitions and requirements
  • Take pride in building reliable pipelines, writing tests, and leaving clear documentation for others

Who This Role Is Not For
This role may not be the right fit if you:
  • Prefer to work without clarifying definitions, assumptions, or data edge cases with stakeholders
  • Want to build pipelines without caring about data quality, monitoring, or downstream usability
  • Avoid ownership for debugging issues, improving reliability, or documenting what you build

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
Skills:
Agile Methodology, Business Requirements, Communication, Computer Programming, Configuring (Inactive), Data Analysis, Financial Processing, Information Systems, Software Development, Structured Query Language (SQL), Systems Analysis, Systems Development Lifecycle (SDLC), Teamwork, Test Environments, Troubleshooting, Waterfall Model, Workflow Management
Pay Range:
United States of America: 124,600 USD - 148,200 USD
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:
15
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location(s):
United States of America
City/Cities:
Atlanta
Travel Required:
00% - 25%
Relocation Provided:
Yes
Job Posting End Date:
June 24, 2026
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
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. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

What Coca-Cola Consolidated employees say

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About Coca-Cola Consolidated

Sourced by ZipRecruiter

Coca-Cola Consolidated, based in Charlotte, NC, US, is a preeminent company in the beverage industry. The company is the largest independent bottler for The Coca-Cola Company in the United States. The company’s product portfolio includes prominent beverages such as Coca-Cola, Diet Coke, Sprite, and a variety of other beverages produced by The Coca-Cola Company. Founded in in 1980 after multiple expansions and mergers, the company has since gained a steadfast reputation in the industry as a leading bottler and distributor. Coca-Cola Consolidated's core values are committed to excellence, committed to service, committed to a higher calling, and committed to each other. Their mission is to share in the refreshment, fun, and fellowship of happiness found in The Coca-Cola Company’s beverages. Their notable achievements include not only market expansion but also their history of giving back to the communities where they operate, signifying their dedication to corporate social responsibility.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

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