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Entry Level Analytics Engineer Jobs in Georgia (NOW HIRING)

Patientco

Data Engineer

Atlanta, GA

$110K - $132K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Waystar

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Crew Career Center

Data Engineer

Atlanta, GA

$110K - $132K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Actalent

Mechanical Design Engineer - Entry Level

Savannah, GA

$28 - $36/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform basic tolerance analysis and support the selection of appropriate materials and ... Prepare clear engineering documentation, reports, and technical presentations to communicate design ...

Coweta County

Entry Level Civil Engineer

Newnan, GA · On-site

$55K - $63K/yr

Public Works/Engineering --- FLSA Status: Exempt General Definition of Work Performs professional ... analyzing written or computer data, using of measuring devices, operating motor vehicles or ...

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Entry Level Analytics Engineer information

What is the difference between Entry Level Analytics Engineer vs Data Analyst?

AspectEntry Level Analytics EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some certificationsBachelor's in Statistics, Math, or related field; certifications optional
Work EnvironmentTechnical teams, data engineering projects, software toolsBusiness units, reporting, data visualization tools
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, retail
Common Search & ComparisonYesYes

The Entry Level Analytics Engineer focuses on building data pipelines, integrating data sources, and supporting data infrastructure, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights for business decisions. While both roles work with data, Analytics Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What does an entry level analytics engineer do?

An Entry Level Analytics Engineer is responsible for building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for analysis. They work closely with data analysts and data scientists to create data models and automate data workflows, often using tools like SQL, Python, and cloud data platforms. Entry level positions focus on learning best practices, supporting senior engineers, and helping the organization make data-driven decisions by providing clean and reliable data.

What are the key skills and qualifications needed to thrive as an entry level analytics engineer, and why are they important?

To thrive as an Entry Level Analytics Engineer, you need a solid grounding in data analysis, SQL, and basic programming skills, often supported by a degree in computer science, statistics, or a related field. Familiarity with data modeling tools, analytics platforms like dbt, and cloud data warehouses such as Snowflake or BigQuery is typically expected. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills that help bridge technical and business needs. These skills ensure accurate, actionable data insights and smooth collaboration with cross-functional teams in data-driven environments.

What types of projects do entry level analytics engineers typically work on, and how do they collaborate with data teams?

Entry Level Analytics Engineers often assist with building and maintaining data pipelines, transforming raw data into usable formats for analysis, and developing reports or dashboards for business stakeholders. They work closely with data analysts to understand reporting needs and with data engineers to ensure data quality and efficient data flow. Collaboration is key, as they may participate in team meetings, code reviews, and documentation efforts to support broader analytics goals. This role provides hands-on experience with modern data tools while offering opportunities to learn from more senior team members.

What are the most commonly searched types of Analytics Engineer jobs in Georgia?

The most popular types of Analytics Engineer jobs in Georgia are:

What are popular job titles related to Entry Level Analytics Engineer jobs in Georgia?

For Entry Level Analytics Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Entry Level Analytics Engineer jobs in Georgia look for?

The top searched job categories for Entry Level Analytics Engineer jobs in Georgia are:

What cities in Georgia are hiring for Entry Level Analytics Engineer jobs?

Cities in Georgia with the most Entry Level Analytics Engineer job openings:

Entry Level Analytics Engineer jobs near you
Infographic showing various Entry Level Analytics Engineer job openings in Georgia as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 1% Temporary, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Data Engineer

Patientco

Atlanta, GA

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Posted 12 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.

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