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Full Stack Data Engineer Jobs in Georgia (NOW HIRING)

Apex Systems

Full Stack Engineer

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job#: 3045198 Full Stack Engineer Location: Atlanta, Georgia (Onsite) Role Overview The Full Stack ... This role combines front-end user experience design, back-end development, data integration, and ...

HMG America

Full Stack Engineer (ONSITE)

Atlanta, GA · On-site

Full Stack Engineer Location:- Atlanta, GA(ONSITE) FULL-TIME Overview: We are seeking a hands on ... Implement and maintain backend Java services supporting user workflows, data processing, and ...

Flexton Inc

Full Stack Developer

Atlanta, GA · On-site

We are seeking a skilled Senior Software Engineer to contribute to the full-stack design ... Data: DynamoDB, S3, Aurora Serverless, OpenSearch, Kinesis Firehose * Configuration: SSM Parameter ...

AgileEngine

Full Stack Engineer ID80989

Boston, GA · On-site

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ... engineers. WHAT YOU WILL DO - Build and maintain full-stack features across the frontend using ...

AgileEngine

Full Stack Engineer ID80989

Atlanta, GA · On-site

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ... engineers. WHAT YOU WILL DO - Build and maintain full-stack features across the frontend using ...

AgileEngine

Full Stack Engineer ID80989

Atlanta, GA · On-site

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ... engineers. WHAT YOU WILL DO - Build and maintain full-stack features across the frontend using ...

Insight Global

Full Stack Developer

Atlanta, GA · On-site

As a Full Stack AI Systems Software Development Engineer, you will design and build production ... Implement authentication, authorization, and secure data handling; ensure applications meet ...

Clerkie

Full-Stack Engineer

Atlanta, GA · Remote

$90/hr

About the role We're looking for a Full-Stack engineer who wants to build, own, and ship end-to-end ... Experience working on data-intensive or complex applications * Familiarity with fintech or ...

Cryptic Vector

Full Stack Developer

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Full Stack Developer As a Full Stack Developer at Cryptic Vector, you'll design, build, and develop ... Architect and build back-end processing logic and services for complex, data-intensive applications ...

Cryptic Vector

Full Stack Developer

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Full Stack Developer As a Full Stack Developer at Cryptic Vector, you'll design, build, and develop ... Architect and build back-end processing logic and services for complex, data-intensive applications ...

AutoStore System, Inc

Senior Full Stack Engineer

Atlanta, GA · On-site

$120 - $190/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop scalable backend services, APIs, messaging integrations, and data contracts that support ... engineering experience, including significant hands-on full stack development experience.* Strong ...

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Showing results 1-20

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Georgia

Full Stack Data Engineer information

See Georgia salary details

$37.6K

$113.8K

$160.9K

How much do full stack data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full stack data engineer in Georgia is $113,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $133,400.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Full Stack Data Engineer jobs in Georgia?

For Full Stack Data Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in Georgia look for?

The top searched job categories for Full Stack Data Engineer jobs in Georgia are:

What cities in Georgia are hiring for Full Stack Data Engineer jobs?

Cities in Georgia with the most Full Stack Data Engineer job openings:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,798 per year, or $54.7 per hour.

Elastic Stack Engineer/ Elastic Stack Data Engineer

Amicis Global

Alpharetta, GA • On-site

$80 - $90/hr

Contractor

Re-posted 22 days ago

Job description

Title: Elastic Stack Engineer/ Elastic Stack Data Engineer
Location: Alpharetta, GA 30005
Duration: 12 Months
Pay: $80-$90/hr on W2 
 
Qualifications -
7+ years of experience with ELK Stack: ElasticSearch, Logstash, Kibana, and Beats. Good to have Ruby and/or Python, GIT and Unix Shell scripting knowledge.
Responsibilities include:
1. Build, maintain, and optimize Elastic clusters focusing on logging use cases.
2. Implement and manage Index Lifecycle Management (ILM) policies, snapshots,s and searchable snapshots for efficient data storage.
3. Design and implement Hot-Warm- Cold architecture for scalable and cost-effective data management.
4. Configure index templates to ensure consistency and best practices across all indices.
5. Architect and size Elasticsearch clusters based on business requirements and performance needs.
6. Automate deployment and configuration management using Ansible.
7. Write shell scripts to automate routine tasks and optimize operations.
8. Utilize GIT for version control and collaborative configuration management.
9. Plan and execute Elastic Stack version upgrades and patching with minimal downtime.
10. Configure Grafana dashboards for monitoring and visualization of Elasticsearch data.
11. Set up and manage alerting systems to monitor cluster health and performance.
12. Integrate Logstash, Kafka and Beats for data ingestion and log forwarding.
13. Troubleshoot, diagnose, and resolve issues related to Elasticsearch, Logstash, Kibana, and related components.
14. Collaborate with cross-functional teams to gather requirements and designan elastic stack solution tailored to specific use cases.