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Full Stack Data Engineer Jobs in Georgia (NOW HIRING)

SSTech LLC

Full Stack Development

Atlanta, GA · On-site

Data Engineering - API integrations, Data pipelines ETL etc. * .Net, C# * Lead material, Absolute spot-on Client/Stakeholder management We are looking for a Full Stack Development Lead who can ...

Truist

Full Stack Engineer

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Full Stack Engineer to design, develop, integrate, and support enterprise ... Develop and optimize SQL queries, stored procedures, and data models * Design and implement ...

Truist

Full Stack Engineer

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Full Stack Engineer to design, develop, integrate, and support enterprise ... Develop and optimize SQL queries, stored procedures, and data models * Design and implement ...

Truist

Full Stack Engineer

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Full Stack Engineer to design, develop, integrate, and support enterprise ... Develop and optimize SQL queries, stored procedures, and data models * Design and implement ...

Hunt Companies

Senior Full Stack Engineer

Alpharetta, GA · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

The role also includes AWS solution architecture, enterprise systems integration, data ecosystem ... years full stack software engineering experience required. * 4-6 years back end and cloud ...

Hunt

Senior Full Stack Engineer

Alpharetta, GA · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

The role also includes AWS solution architecture, enterprise systems integration, data ecosystem ... years full stack software engineering experience required. * 4-6 years back end and cloud ...

Aventine software

Full Stack Developer

Atlanta, GA · On-site

Full-Stack Developer Location: Berkeley Heights, NJ / Alpharetta, GA(5days onsite) You will be part ... financial data with 100% integrity. Technical Requirements • Experience: 5-8 years of ...

MM International

Full Stack Python Engineer

Athens, GA · On-site

Full Stack Python Engineer Location: Athens, GA (Onsite/Hybrid) Type: Ongoing Contract Interview Process: 1 Virtual + 1 Onsite About the Role Are you a passionate React + Python developer eager to ...

Datavault AI Inc.

Full Stack Developer

Atlanta, GA · On-site

Full Stack Developer Location: Atlanta, GA, Hybrid Employment Type: Full-Time About Us: Datavault ... Datavault AI Inc. delivers high-performance computing software, Web 3.0 data-management solutions ...

Navtech, Inc.

Full Stack Developer

Alpharetta, GA · On-site

Equifax is looking for a full stack Cloud Engineer - Mortgage and Housing platform, who is responsible for performing Java application development activities, including unit testing, code deployment ...

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Showing results 21-40

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.

Full Stack Development

SSTech LLC

Atlanta, GA • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Hi,
 
We do have an urgent requirement for the below position with our direct client, Please submit Resume, Rate and Contact details.

Position: Full Stack Development
Duration:Long Term
Location: Atlanta, GA 30342 (Hybrid)
Year of experience : 5+ years
Must have :
  • Ruby on Rails
  • Nginix
  • Data Engineering - API integrations, Data pipelines ETL etc.
  • .Net, C#
  • Lead material, Absolute spot-on Client/Stakeholder management
We are looking for a Full Stack Development Lead who can provide hands-on technical leadership for AI-led software delivery while continuing to contribute to production-grade microservices development using .NET and C#. This role is expected to guide engineering teams, define delivery guardrails, review architecture and code quality, and ensure responsible use of AI coding assistants across the SDLC.
Key Responsibilities
  • Lead the design, development, testing, and delivery of scalable microservices using .NET, C#, APIs, and database-backed services.
  • Provide technical direction to developers on service boundaries, API contracts, resilience patterns, integration design, and containerized deployment approaches.
  • Drive AI-led SDLC adoption across development, test generation, refactoring, debugging, documentation, code review, and onboarding workflows.
  • Establish engineering guardrails for AI-generated code, including code review standards, test coverage, security checks, maintainability expectations, and responsible usage practices.
  • Mentor developers on prompt engineering, AI-assisted development, critical review of generated code, and productivity-focused engineering practices.
  • Partner with product, business, architecture, and delivery stakeholders to convert business outcomes into high-quality technical delivery plans.
  • Own technical risk identification, dependency management, delivery quality, and engineering productivity improvements for the development track.
Required Skills
  • Strong hands-on expertise in .NET, C#, microservices development, APIs, and production-grade backend engineering.
  • Demonstrated experience leading development teams or workstreams in complex application delivery programs.
  • Deep understanding of microservices architecture, service decomposition, API design, resilience, observability, and deployment patterns.
  • Strong database fundamentals including schema design, query optimization, transactions, SQL, and data access performance tuning.
  • Practical experience using AI coding assistants such as Claude, GitHub Copilot, or similar tools in real delivery workflows.
  • Ability to define AI-assisted engineering standards and critically review AI-generated code for correctness, security, maintainability, and performance.
  • Experience with SDET practices, automated testing, quality engineering, secure coding, and CI/CD-driven delivery.
  • Strong communication, mentoring, stakeholder management, and technical decision-making skills.
Additional Development Lead Skills
  • Ability to own technical solutioning, estimation, design reviews, and delivery planning for the development track.
  • Experience conducting code reviews, architecture walkthroughs, design validation, and technical quality governance.
  • Capability to coach teams on AI-first development practices while ensuring accountability for human review and engineering judgment.
  • Experience defining reusable engineering patterns, reference implementations, development standards, and onboarding playbooks.
  • Ability to collaborate with architects and delivery leaders on modernization, cloud readiness, scalability, security, and operational reliability.
  • Strong problem-solving skills with the ability to unblock teams, resolve technical dependencies, and make pragmatic delivery decisions.
Preferred Skills
  • Exposure to Ruby on Rails for hybrid service maintenance or modernization scenarios.
  • Experience with cloud-native engineering, containerization, observability, DevSecOps, and secure deployment pipelines.
  • Experience improving engineering productivity through reusable accelerators, automation, AI-enabled development workflows, and quality dashboards.
 

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