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Internship Data Validation Jobs in Georgia (NOW HIRING)

Data Engineer

Atlanta, GA

$110K - $132K/yr

Help implement basic data validation and data quality checks * Support monitoring of pipelines and ... Internship, coursework, or project experience in data engineering, analytics, or cloud platforms

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Help implement basic data validation and data quality checks * Support monitoring of pipelines and ... Internship, coursework, or project experience in data engineering, analytics, or cloud platforms

Financial Analyst 1

Duluth, GA · Hybrid

$55K - $60K/yr

... internships, projects, or relevant work experience. Required Skills & Competencies * Advanced Microsoft Excel skills, including formulas, pivot tables, lookup functions, data validation, and data ...

Validate data accuracy and investigate data quality issues. * Build meaningful visualizations that ... Academic, internship, personal, or professional projects using Power BI. * Basic understanding of ...

Validate data accuracy and investigate data quality issues.Build meaningful visualizations that ... PREFERRED QUALIFICATIONSAcademic, internship, personal, or professional projects using Power BI.

Data tracking, program evaluation, and reporting * Real-world exposure to nonprofit operations ... Access to reliable transportation and valid drivers license * Must bring your own laptop Preferred:

Data tracking, program evaluation, and reporting * Real-world exposure to nonprofit operations ... Access to reliable transportation and valid driver's license * Must bring your own laptop Preferred:

Data tracking, program evaluation, and reporting * Real-world exposure to nonprofit operations ... Access to reliable transportation and valid driver's license * Must bring your own laptop Preferred:

Data tracking, program evaluation, and reporting * Real-world exposure to nonprofit operations ... Access to reliable transportation and valid driver's license * Must bring your own laptop Preferred:

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

... prepare, validate, and operationalize data. * Apply modern AI techniques, including LLMs and AI ... field, including internships, research, senior projects, or meaningful independent projects.

... data entry functions; assist with payroll processing; work with accounting and tax specific ... Valid credentials to work in the U.S. * All students must provide their own transportation and ...

... data entry functions; assist with payroll processing; work with accounting and tax specific ... Valid credentials to work in the U.S. * All students must provide their own transportation and ...

... data entry functions; assist with payroll processing; work with accounting and tax specific ... Valid credentials to work in the U.S. * All students must provide their own transportation and ...

... data entry functions; assist with payroll processing; work with accounting and tax specific ... Valid credentials to work in the U.S. * All students must provide their own transportation and ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

... prepare, validate, and operationalize data. * Apply modern AI techniques, including LLMs and AI ... field, including internships, research, senior projects, or meaningful independent projects.

... prepare, validate, and operationalize data. * Apply modern AI techniques, including LLMs and AI ... field, including internships, research, senior projects, or meaningful independent projects.

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Internship Data Validation information

What is an internship data validation?

An Internship Data Validation role involves assisting organizations in ensuring the accuracy and integrity of their data. Interns in this position typically verify data sets, identify inconsistencies, and help correct errors by following established validation processes. They may use various software tools to conduct checks and collaborate with other teams to maintain data quality. This role is ideal for those looking to gain experience in data management and analytics.

What are some common challenges faced during a data validation internship, and how can they be overcome?

A Data Validation internship often involves dealing with large datasets that may contain inconsistencies, missing values, or errors. One common challenge is ensuring data accuracy while working under tight deadlines, which requires strong attention to detail and effective time management. Interns may also need to learn new validation tools or programming languages quickly. Collaborating closely with data analysts and IT teams can help interns understand best practices and find solutions to data issues. Seeking feedback and asking questions early on can also accelerate the learning process and improve data validation outcomes.

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

AspectInternship Data ValidationData Analyst
Required CredentialsTypically pursuing or recent graduate, basic technical skillsBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time, professional environment, analytical responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcareCompanies across industries, data-driven roles
Comparison Search IntentUnderstanding entry-level data validation rolesLearning about data analysis careers

Internship Data Validation focuses on entry-level tasks like verifying data accuracy under supervision, often as part of an internship program. Data Analysts perform comprehensive data analysis, interpret trends, and support decision-making. While both roles involve working with data, internships are training positions, whereas Data Analysts are full-time professionals with broader responsibilities.

What are the key skills and qualifications needed to thrive as an internship data validation specialist, and why are they important?

To excel as an Internship Data Validation specialist, you need strong analytical skills, attention to detail, and a foundational understanding of data management, often supported by coursework in statistics or computer science. Familiarity with spreadsheet software (like Excel), database management systems, and data validation tools is usually required. Effective communication, problem-solving abilities, and a proactive attitude are standout soft skills for this role. These skills ensure that data is accurate, reliable, and actionable, which is vital for informed business decision-making.
What cities in Georgia are hiring for Internship Data Validation jobs? Cities in Georgia with the most Internship Data Validation job openings:
Infographic showing various Internship Data Validation job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Posted 5 days ago


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

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

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.