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

We put Fullstory's rich digital experience data directly into customers' hands: in their warehouses, in their AI workflows, and in the tools their teams already use. As our Senior Data Engineer, you ...

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Data Analytics Engineer

Atlanta, GA · On-site

$50 - $55/hr

The Data Engineer is responsible for designing, building, and supporting scalable data platforms ... Knowledge of AI/ML enablement on Databricks * Experience with Power BI integration and DirectQuery ...

Posted today

Build and integrate **basic AI/ML models** using tools like: - Vertex AI - AutoML - TensorFlow ... data processing tools like Dataflow * Exposure to GenAI or LLM APIs * GCP Associate Cloud Engineer ...

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.

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 ...

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 ...

$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 ...

Fabric Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

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

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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We are looking for a Senior AI Customer Engineer with deep Cloud & AI Data Platform. Candidates will be supporting customers in building secure, scalable, and AI-ready solutions on Microsoft Azure.

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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:
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.

Big Data Engineer - Q123

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago


Job description

Overview:
R2 Technologies Corporation (R2) is a technology services provider headquartered in Alpharetta, GA, with expertise in a range of cutting-edge technologies. R2 specializes in Java, Dot Net, Big Data, Cloud Computing, artificial intelligence (AI), machine learning (ML), software development, project management, SAP, and enterprise resource planning (ERP) systems. Additionally, R2 offers highly skilled resources and productivity platforms that enable clients to rapidly deliver business value to their stakeholders.
R2's strength lies in providing platform-based solutions, architecting, and designing enterprise solutions, leveraging cloud technologies such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver scalable and cost-effective solutions.
R2's expertise in AI and ML enables clients to leverage the power of data to make data-driven decisions and improve their overall performance. R2 also provides solutions for internet of things (IoT) and blockchain technologies, which can help clients improve their supply chain management and streamline their operations.
Since its inception, R2 has rapidly grown to become one of the most respected and trusted technology companies in the United States, providing product development and staffing services to a diverse range of clients, including small and midsize businesses, as well as Fortune 1000 companies.
Job Title: Big Data Engineer
Location: Alpharetta, GA.
Type: Full-time / C2C
Overview:
We are seeking a skilled and experienced Developer to join our team. The ideal candidate will have expertise in programming and experience in building scalable and reliable applications.
Responsibilities:
• Develop and maintain a public cloud infrastructure and solutions to support the availability, orchestration, configuration, maintenance, and monitoring of cloud environments.
• Actively work with cloud and application architects to build cloud infrastructure for customer-facing applications and services.
• Build and maintain automation frameworks and tools to ensure high speed & low-cost provisioning, maximum uptime, and predictability while preventing outages and service interruptions or degradations.
• Communicate, coordinate, and collaborate with peers in Cloud Engineering.
Required Skills:
• Minimum of 3 years of experience working in an IT Infrastructure team in a Cloud, PaaS environment and supporting mission-critical services.
• Minimum of 3 years of experience designing, building, and supporting multi-regional IaaS/PaaS solutions on MS Azure or GCP or AWS.
• Experience in cloud automation, configuration management, and deployment of enterprise-scale infrastructures as code (IaC) using Ansible, Terraform, and Python.
• Experience with one or more container platforms such as Kubernetes or Docker is preferred.
• Proficient knowledge of the security processes, standards & issues involved in multi-tier cloud or hybrid applications, including relevant data privacy and compliance requirements. Familiarity with principles of network, application, and information security.
• Understanding of software engineering, including DevOps, CI/CD pipeline, test automation, environment, configuration automation, etc.
• Experience managing configuration, build and deployments for enterprise software solutions
• Experience with Kubernetes administration and operations
• Experience working on cloud-based infrastructure e.g Google Cloud Platform
• Experience with infrastructure as code (Terraform or CloudFormation)
• Experience with containerized systems and container orchestration
• Experience automating cloud platform configuration, build and deployments
• Excellent knowledge of Linux/Bash technologies
• Strong understanding of network fundamentals
• Familiarity with Agile methodologies and practices
• Experience managing multiple projects and priorities simultaneously
• Ability to understand critical issues and bring appropriate resolution to complex issues
Optional Skills:
• Experience with cloud-native architecture and Microservices with CI/CD pipelines are a plus.
• Experience with building cloud automation capabilities using VMware vRA stack.
• Agile methodology experience and working experience in a scrum team are preferred.
• Experience in infrastructure architecture, database architecture or networking
• Experience working within support, services, software development or Internet-related industries
• Experience migrating or transforming legacy customer solutions to the cloud
• Experience managing highly available data center operations with responsibility for infrastructure robustness, including networking, server hardware and storage
• Familiarity/experience with Atlassian products ( Jira, Confluence, Bitbucket, etc. ) and related technology
• AWS cloud cost model and services
Qualifications:
• Bachelor's degree in computer science, Engineering, or related field.
• Relevant certification.
Attributes:
We are seeking a candidate who is passionate, intelligent, and a critical thinker. The ideal candidate should be a proactive communicator, documenting their work clearly and succinctly. They should be detail-oriented, thoughtful, and respectful, with a focus on teamwork. The candidate should possess strong problem-solving skills and have the ability to work independently and within a team. They should be able to adapt to changing requirements and maintain a positive attitude in a fast-paced environment.
What's In It for You?
We offer competitive benefits, pay, and bonus potential, including group health insurance, vision and dental insurance, and paid vacation.
Skills:
Big Data,Cloud Computing IaaS,Cloud Applications,PaaS