ZipRecruiter

Log In

2

Entry Level Aws Data Engineer Jobs in Atlanta, GA

DPR Construction

PCA Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST)

OneDigital

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Our Newest Opportunity: We're building a modern, AI-native data engineering function on Azure ... Experience: 2+ years preferred; Entry Level Candidates with strong projects encouraged to apply ...

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 ... Able to write AWS lambda function to pull data from AWS redshift. Run SQL query. Please add the ...

BlackRock

Associate, Data Engineer

Atlanta, GA · On-site

$130K - $148K/yr

Associate, Data Engineer Location: 725 Ponce De Leon Avenue NE Atlanta, GA 30306 Job Duties: Serve ... Azure Cosmos DB, AWS DynamoDB, Google Firestore, flexible JSON document data store, or NoSQL ...

New

TEKFORTUNE INC

AWS Engineer

Atlanta, GA · On-site

They are seeking an AWS Engineer to execute data extraction, design automation, and develop scalable workflows in AWS. Responsibilities : • Execute manual data/document extraction short-term • ...

North Highland

Consultant AI & Data Engineer

Atlanta, GA · On-site

We're seeking a Consultant, AI & Data Engineer in our Atlanta, GA office to help us take vision to ... Working exposure to at least one of Azure, GCP, or AWS. * Experience with LangGraph, LangChain, or ...

previous pagenext page

Showing results 21-40

All JobsAws Data Engineer JobsEntry Level Aws Data Engineer JobsEntry Level Aws Data Engineer Jobs in Atlanta, GA

Entry Level Aws Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do entry level aws data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for entry level aws data engineer in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What does an entry level AWS data engineer do?

An Entry Level AWS Data Engineer is responsible for helping to design, build, and maintain data pipelines and infrastructure in Amazon Web Services (AWS) environments. They work with data storage tools like Amazon S3, databases such as Amazon RDS or Redshift, and data processing services like AWS Glue or EMR. Their role often involves data extraction, transformation, and loading (ETL), ensuring data is accessible and usable for analytics and business needs. They typically collaborate with data scientists, analysts, and senior engineers while following best practices for cloud security and scalability.

What are the key skills and qualifications needed to thrive as an entry level AWS data engineer?

To thrive as an Entry Level AWS Data Engineer, you need a solid understanding of data structures, SQL, Python or similar programming languages, and a basic grasp of cloud computing concepts, ideally supported by a relevant degree or coursework. Familiarity with AWS services such as S3, Redshift, Glue, and data visualization or ETL tools, along with certifications like AWS Certified Data Analytics – Specialty, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are crucial for building scalable data solutions, ensuring data quality, and enabling data-driven decision-making for organizations using AWS.

What are some typical projects an entry level AWS data engineer might work on?

As an Entry Level AWS Data Engineer, you may be involved in projects such as building data pipelines, automating data ingestion, or assisting in the migration of on-premises data to AWS cloud services. These projects typically require collaboration with data analysts, senior engineers, and sometimes business stakeholders to ensure that clean, well-structured data is available for reporting and analytics. Your contributions help streamline data flows, improve data quality, and support the team’s ability to make data-driven decisions, providing a strong foundation for future growth and responsibilities.

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

AspectEntry Level Aws Data EngineerData Analyst
Required CredentialsBasic AWS certifications, SQL, PythonExcel, SQL, basic data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud infrastructureBusiness, marketing, finance sectors

While both roles involve working with data, Entry Level Aws Data Engineers focus on building and maintaining cloud-based data pipelines using AWS tools, whereas Data Analysts interpret data and create reports to support business decisions. The roles often overlap in skills like SQL and basic scripting, but differ in their core responsibilities and work environments.

What are the most commonly searched types of Aws Data Engineer jobs in Atlanta, GA?

The most popular types of Aws Data Engineer jobs in Atlanta, GA are:

What are popular job titles related to Entry Level Aws Data Engineer jobs in Atlanta, GA?

For Entry Level Aws Data Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Entry Level Aws Data Engineer jobs in Atlanta, GA look for?

The top searched job categories for Entry Level Aws Data Engineer jobs in Atlanta, GA are:

Entry Level Aws Data Engineer jobs near you
Infographic showing various Entry Level Aws Data Engineer job openings in Atlanta, GA as of July 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

Python Data Engineer (Airflow, Kafka, Spark) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 20 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!
Python Data Engineer (Airflow, Kafka, Spark)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a proficient Python Data Engineer to build and manage data pipelines using Airflow, Kafka, and Spark. This role focuses on developing scalable ETL/ELT workflows for streaming and batch data processing.
Key Responsibilities
  • Design and implement data pipelines using Python with Airflow for orchestration and scheduling.
  • Integrate Kafka for streaming data and Spark for processing large-scale datasets.
  • Develop ETL/ELT workflows to transform and load data into storage or analytics systems.
  • Optimize pipelines for performance, reliability, and scalability in distributed environments.
  • Collaborate with data teams to ensure data quality and availability for downstream applications.
  • Monitor and troubleshoot data workflows to maintain seamless operations.

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 Python, focusing on Airflow, Kafka, and Spark.
  • Proficiency in building ETL/ELT pipelines for streaming and batch data processing.
  • Experience with Kafka for real-time data streaming and Spark for distributed data processing.
  • Strong understanding of data engineering principles and pipeline automation.

Preferred Qualifications
  • Familiarity with alternative orchestration tools like Luigi for data workflow management.
  • Exposure to cloud platforms like AWS or GCP for hosting data pipelines.
  • Knowledge of monitoring tools like Grafana for pipeline observability.

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:
Python, Airflow, Kafka, Spark, Data Engineer, ETL, ELT, Streaming

Apply