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Entry Level Ai Data Engineer Jobs in Georgia (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Atlanta, GA · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Constellium

Industrial Data Engineer

White, GA · On-site

$61K - $83K/yr

The Industrial Data Engineer will lead engineering data activities related to change management ... Proficient in Teams, Copilot or simialr AI, SharePoint, Power apps & Power Automoate (preferred ...

Redolent, Inc.

US_East | Data Engineer_L2

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Work location: Remote Start date: 11/01/2021 Background check MANDATORY Request ID ... Machine learning and AI is a plus. Able to write AWS lambda function to pull data from AWS redshift.

GVW Group, LLC

AI Innovation Associate

Atlanta, GA

Through the Aculocity AI Innovation Lab, a select group of students will work alongside AI Engineers, Data Scientists, Software Engineers, Architects and Business Leaders to solve real-world ...

Posted today

Tata Consultancy Services

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... AI and Data business platforms. • Design, train, and optimize machine learning models for ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

Tata Consultancy Services

Agentic AI Engineer

Atlanta, GA

$110K - $132K/yr

... AI and Data business platforms. • Design, train, and optimize machine learning models for ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

Socket.dev

Data Scientist

Atlanta, GA · On-site

$90 - $95/hr

... AI) to public health data. The position works with data from multiple surveillance systems and programs and collaborates with Data Engineering, Product Management, User Experience, subject-matter ...

Cherokee Federal

Data Scientist

Atlanta, GA · On-site

$90K - $95K/yr

... AI) to public health data. The position works with data from multiple surveillance systems and programs and collaborates with Data Engineering, Product Management, User Experience, subject-matter ...

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Entry Level Ai Data Engineer information

What is an entry level AI data engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.

What are some common challenges faced by entry level AI data engineers in their first year on the job?

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

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

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

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

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

How to get into entry level AI data engineering?

To enter an entry-level AI data engineering role, develop skills in programming languages like Python and SQL, understand data pipelines and databases, and gain experience with cloud platforms such as AWS or Azure. Completing relevant certifications or courses in data engineering and machine learning can also improve job prospects.

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

The most popular types of Ai Data Engineer jobs in Georgia are:

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

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

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

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

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

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

Entry Level Ai Data Engineer jobs near you
Infographic showing various Entry Level Ai Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Big Data Engineer (AWS EMR & Spark) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$54.50 - $72/hr

Full-time

Medical, Retirement, PTO

Re-posted 29 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Senior Big Data Engineer (AWS EMR & Spark)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an experienced Senior Big Data Engineer to design and implement large-scale data solutions using AWS EMR and Spark. This role focuses on building efficient ETL processes and data pipelines to support enterprise analytics and insights.
Key Responsibilities
  • Design and develop scalable data pipelines using AWS EMR and Apache Spark for processing large datasets.
  • Implement ETL workflows to transform and integrate data from various sources into actionable insights.
  • Optimize Spark jobs on AWS EMR clusters for performance, cost-efficiency, and reliability.
  • Collaborate with data analysts and scientists to support advanced analytics and reporting requirements.
  • Ensure data quality, security, and compliance throughout the data lifecycle in cloud environments.
  • Troubleshoot and monitor EMR clusters to maintain high availability and performance under heavy workloads.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Big Data Engineer with expertise in AWS EMR and Spark.
  • Proficiency in building and optimizing ETL processes and data pipelines for large-scale datasets.
  • Strong understanding of distributed computing principles and big data architectures.
  • Experience with AWS cloud services for data storage and processing (e.g., S3, Glue).

Preferred Qualifications
  • Familiarity with advanced AWS services like AWS Redshift or Lambda for integrated data workflows.
  • Exposure to data lake architectures and tools like Delta Lake for enhanced data management.
  • Knowledge of scripting languages like Python or Scala for Spark job development.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Big Data, Data Engineer, AWS EMR, Spark, ETL, Data Pipeline

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