ZipRecruiter

Log In

2

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

Mwe

Pricing Data Engineer

Atlanta, GA

$110K - $169K/yr

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... This role supports scalable solutions and the integration of AI-driven capabilities to enhance ...

Polar IT Services

Lead Data Engineer

Alpharetta, GA · On-site +1

$100K - $131K/yr

Role: Lead Data Engineer with Vertex AI Location: Alpharetta, GA Mode of work: 5Days Onsite Looking for 12+years profiles only Visa: USC & GC only (It's a W2 Role) Core Responsibilities: We are ...

Pwc

AI Engineer

Atlanta, GA · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Atlanta, GA · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Atlanta, GA · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Infosys Limited Digital

Fabric Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Required Skill and Experience • Experience in Data Engineering or Analytics Engineering roles ... We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of ...

previous pagenext page

Showing results 21-40

All JobsAi Data Engineer JobsEntry Level Ai Data Engineer JobsEntry Level Ai Data Engineer Jobs in Georgia

Entry Level Ai Data Engineer information

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.

Can you be an entry level AI data engineer with no experience?

Entry level AI data engineer roles typically require some foundational knowledge of programming, data management, and machine learning concepts, but many employers are open to candidates with limited experience if they demonstrate strong analytical skills and a willingness to learn. Gaining relevant skills through online courses, certifications, or internships can improve your chances of qualifying for such positions. Practical experience with tools like Python, SQL, and cloud platforms is often beneficial even at the entry level.

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, and gain experience with data processing tools such as Apache Spark or Hadoop. Building a strong foundation in databases, data modeling, and machine learning concepts, along with relevant certifications or coursework, can improve your chances of securing an entry-level position.

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 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.

Cloud Data Engineer (GCP BigQuery & Dataflow) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 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!
Cloud Data Engineer (GCP BigQuery & Dataflow)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a talented Cloud Data Engineer to design and manage data pipelines on Google Cloud using BigQuery and Dataflow. This role focuses on building scalable ETL processes to support data analytics and insights for enterprise applications.
Key Responsibilities
  • Design and implement data pipelines on Google Cloud using BigQuery and Dataflow for efficient ETL workflows.
  • Develop and optimize data transformations to load and process data in BigQuery for analytics.
  • Automate data workflows to ensure seamless integration and delivery of data across systems.
  • Collaborate with data analysts to provide clean, reliable data for reporting and visualization.
  • Monitor and tune pipeline performance on GCP to ensure cost efficiency and scalability.
  • Troubleshoot and resolve issues in data pipelines to maintain data integrity and availability.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Engineer with a focus on Google Cloud (GCP) technologies.
  • Proficiency in building ETL pipelines using BigQuery and Dataflow for large-scale data processing.
  • Experience with pipeline automation and optimization on GCP for analytics workloads.
  • Strong understanding of cloud-based data engineering and distributed data systems.

Preferred Qualifications
  • Familiarity with other GCP services like Pub/Sub or Cloud Storage for data integration.
  • Exposure to advanced BigQuery features like partitioning or clustering for performance optimization.
  • Knowledge of orchestration tools like Apache Airflow for managing GCP data workflows.

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:
Data Engineer, GCP, Google Cloud, BigQuery, Dataflow, ETL, Pipeline

Apply