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Data Modeling Internship Jobs in Atlanta, GA (NOW HIRING)

Data Engineer

Atlanta, GA

$110K - $132K/yr

... models * Learn CI/CD and Infrastructure-as-Code concepts (Terraform exposure) Governance ... Internship, coursework, or project experience in data engineering, analytics, or cloud platforms

New

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... models * Learn CI/CD and Infrastructure-as-Code concepts (Terraform exposure) Governance ... Internship, coursework, or project experience in data engineering, analytics, or cloud platforms

New

... internships, or professional roles. Technical Skills • Working knowledge of data warehousing concepts, SQL, and basic data modeling. • Familiarity with modern data platforms and tools (e.g ...

... internships, or professional roles. Technical Skills • Working knowledge of data warehousing concepts, SQL, and basic data modeling. • Familiarity with modern data platforms and tools (e.g ...

Master Data Management Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Design and maintain master data models across multiple data domains * Build and maintain ... interns in close coordination with team Managers and Directors QUALIFICATIONS (REQUIRED AND ...

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 ...

... modeling, and scenario analysis. * -Prepare budget-to-actual and forecast-to-actual variance ... related area; internships and co-op experience considered * -Ability to learn quickly, work ...

Assist with Microsoft Fabric datasets, semantic models, and reporting solutions.Validate data ... PREFERRED QUALIFICATIONSAcademic, internship, personal, or professional projects using Power BI.

... models, and reporting solutions. * Validate data accuracy and investigate data quality issues ... Academic, internship, personal, or professional projects using Power BI. * Basic understanding of ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

... field, including internships, research, senior projects, or meaningful independent projects ... Experience building something reusable or scalable, such as a data pipeline, internal tool, model ...

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

... field, including internships, research, senior projects, or meaningful independent projects ... Experience building something reusable or scalable, such as a data pipeline, internal tool, model ...

... field, including internships, research, senior projects, or meaningful independent projects ... Experience building something reusable or scalable, such as a data pipeline, internal tool, model ...

Agentic AI Engineer

Atlanta, GA

$110K - $132K/yr

... and Data business platforms. • Design, train, and optimize machine learning models for ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

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Data Modeling Internship information

See Atlanta, GA salary details

$11

$21

$40

How much do data modeling internship jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data modeling internship in Atlanta, GA is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 per hour, depending on experience, location, and employer.

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 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 cities near Atlanta, GA are hiring for Data Modeling Internship jobs? Cities near Atlanta, GA with the most Data Modeling Internship job openings:
Infographic showing various Data Modeling Internship job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $45,014 per year, or $21.6 per hour.

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Posted 3 days ago

New


Job description

ABOUT THIS POSITION

We are seeking a Junior Data Engineer to join Waystar's Business Data & Architecture team and support our data modernization journey on Google Cloud Platform (GCP).
This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar program) with a strong foundation in data, software engineering, or analytics, and a passion for building scalable data solutions.
You will work alongside senior engineers and architects to help build and maintain data pipelines, contribute to modern Medallion architecture (Bronze/Silver/Gold), and learn best practices in cloud data engineering, governance, and analytics delivery.

WHAT YOU'LL DO

What You'll Do

Data Pipeline Development (Learn & Build)

  • Assist in building and maintaining data pipelines into BigQuery using tools such as Fivetran and Python
  • Support development of bronze, silver, and gold data layers for analytics use cases
  • Contribute to data transformations using dbt (training provided if needed)
  • Work with senior engineers to understand orchestration and scheduling concepts

Data Quality & Reliability

  • Help implement basic data validation and data quality checks
  • Support monitoring of pipelines and troubleshooting data issues
  • Learn best practices for logging, testing, and error handling

Platform & Engineering Practices

  • Contribute to version-controlled development using GitHub
  • Assist in documenting data pipelines, transformations, and data models
  • Learn CI/CD and Infrastructure-as-Code concepts (Terraform exposure)

Governance & Collaboration

  • Partner with data engineers, analysts, and business stakeholders to understand data requirements
  • Support data classification, lineage, and governance initiatives
  • Participate in Data Champions and domain-based data ownership practices

What You'll Bring

Required Qualifications

  • Bachelor's degree in computer science, Data Engineering, Information Systems, or related field
  • Strong academic foundation in:
  • SQL
  • Python or similar programming language
  • Data structures and problem-solving
  • Internship, coursework, or project experience in data engineering, analytics, or cloud platforms
  • Willingness to learn modern data tools and cloud technologies
  • Strong communication and collaboration skills

Preferred Qualifications

  • Exposure to cloud platforms such as GCP, AWS, or Azure
  • Familiarity with:
  • BigQuery or relational databases
  • dbt or data transformation tools
  • APIs and data ingestion concepts
  • Experience with Git or version control
  • Academic or personal projects involving data pipelines or analytics

WHAT YOU'LL NEED

  • Building scalable data pipelines in a modern cloud platform (GCP / BigQuery)
  • Data modeling and Medallion architecture design
  • dbt-based transformation and analytics engineering
  • Data quality frameworks and observability
  • Data governance, classification, and secure access controls
  • Real-world enterprise data platform delivery
  • SQL
  • Python (or similar language)
  • Basic data modeling / analytics concepts
  • Git or version control (exposure)

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.