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Entry Level Data Engineering Jobs in Georgia (NOW HIRING)

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

This is an entry-level role where you will work on well-defined pipeline and data tasks under guidance, building your skills across the full data engineering stack while contributing to a modern ...

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

This is an entry-level role where you will work on well-defined pipeline and data tasks under guidance, building your skills across the full data engineering stack while contributing to a modern ...

Pwc

Data Engineer - Senior Associate

Atlanta, GA · On-site

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Engineering information

What engineer makes $500,000 a year?

While most entry-level data engineering roles do not reach $500,000 annually, senior data engineers with extensive experience, specialized skills in big data tools, and leadership responsibilities can earn this level of compensation, often through a combination of salary, bonuses, and stock options in large tech companies or startups.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency but do not eliminate the core responsibilities of data engineering roles.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level position.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Which is the hardest field in it?

In entry-level data engineering, the most challenging aspects often involve mastering complex data pipelines, understanding distributed systems, and working with large-scale databases. Developing proficiency in tools like SQL, Python, and cloud platforms such as AWS or Azure can also be demanding for newcomers. Building strong problem-solving skills and gaining certifications can help overcome these challenges.
What are the most commonly searched types of Data Engineering jobs in Georgia? The most popular types of Data Engineering jobs in Georgia are:
What are popular job titles related to Entry Level Data Engineering jobs in Georgia? For Entry Level Data Engineering jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineering jobs in Georgia look for? The top searched job categories for Entry Level Data Engineering jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Data Engineering jobs? Cities in Georgia with the most Entry Level Data Engineering job openings:
Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Georgia as of July 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 94% In-person, and 6% Hybrid job distribution.
Data Engineer

Data Engineer

PrizePicks

Atlanta, GA • On-site, Remote

$105K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? 

We are looking for a Data Engineer 1 to join our Data Engineering team and help build the data infrastructure that powers analytics, machine learning, and business decision-making at PrizePicks. This is an entry-level role where you will work on well-defined pipeline and data tasks under guidance, building your skills across the full data engineering stack while contributing to a modern lakehouse platform.

What you’ll do: Pipeline & Data Tasks
  • Develop and execute well-defined data engineering tasks — creating and modifying data models, writing ingestion scripts, and updating transformations following engineering standards
  • Orchestrate data flow through PrizePicks\' medallion lakehouse architecture: Landing-Bronze-Silver-Gold
  • Deploy, execute, and monitor data jobs and workflows, respond to failures following established runbooks during oncall
Code Quality & Development
  • Author robust Python and SQL code following team conventions, with guidance on style, structure, and testing
  • Adhere to team standards for model organization, naming, and documentation
  • Conduct code reviews - give and receive feedback constructively
  • Implement unit tests and adopt what good test coverage looks like for data pipelines
Collaboration & Ownership
  • Own assigned pipeline tasks - follow through, communicate blockers early, and see work to completion
  • Collaborate actively in agile rituals and team discussions
  • Document technical builds: models, runbooks, and decisions. Share learnings with the team.
  • Partner with Analytics, MLE, and Product stakeholders to understand how the data you produce gets used and find opportunities to better serve stakeholders.
What you have:
  • A bachelor\'s degree in Computer Science, Mathematics, or a related quantitative field, or equivalent hands-on experience
  • Good knowledge of Python - you can write a script, work with data structures, and follow a coding style guide
  • Experience working with cloud environments (GCP, AWS, Azure)
  • Familiarity with SQL - you can write queries, understand joins, and read a schema
  • Familiarity with data engineering concepts: ETL/ELT, APIs, data pipelines, or similar
  • Curiosity about how data moves through systems and a desire to understand the full stack
  • Clear written and verbal communication skills - you can explain what you\'re working on and flag when you\'re stuck
  • Ownership mindset: takes responsibility for assigned tasks and follows through reliably
What makes you stand out:
  • Exposure to GCP
  • Familiarity with a workflow orchestration tool (Airflow, Argo, etc.)
  • Experience with Big Query, dbt, Spark, Kafka, or Iceberg
  • Experience with containerization or Kubernetes
  • Experience with Infrastructure as Code tooling (Terraform, CrossPlane)
Where you’ll live:
  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 
Working at PrizePicks:

The typical salary range for this position is $105,000 to $140,000. At PrizePicks, we consider your role, level, and where you\'ll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted:  June 22nd, 2026

Benefits you’ll receive:

In addition to your great compensation package, full-time employees will be eligible for the following perks: 

  • Company-subsidized medical, dental, & vision plans 
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S.  We are unable to sponsor or take over sponsorship of an employment Visa at this time. 

PrizePicks is an Equal Opportunity Employer.  All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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