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Full Stack Data Engineer Jobs in South Carolina (NOW HIRING)

B&A

Full Stack Developer- Top Secret

Charleston, SC

Description Full Stack Developer/ Architect At B&A, we foster and embrace a distinct set of values ... Databricks Data Engineer Certification (desired) * ITIL Foundation Certification Key Attributes

ScanSource

Sr Full Stack Developer

Greenville, SC · On-site

$98 - $125/hr

We are seeking a highly skilled Senior Full Stack Developer with 8+ years expertise in Microsoft technologies, including .NET (C#), Azure, and modern web frameworks such as Blazor. This role is ...

Vivacity Tech PBC

Full Stack Developer

Greenville, SC · On-site

$100K - $150K/yr

Job Summary The Full Stack Developer is responsible for designing, developing, testing, deploying, and maintaining web applications and supporting services. This role collaborates closely with senior ...

Scan source

Sr Full Stack Developer

Greenville, SC · On-site

$98K - $125K/yr

We are seeking a highly skilled Senior Full Stack Developer with 8+ years expertise in Microsoft technologies, including .NET (C#), Azure, and modern web frameworks such as Blazor. This role is ...

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Showing results 21-40

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in South Carolina

Full Stack Data Engineer information

See South Carolina salary details

$41.3K

$125.1K

$176.8K

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

As of Sep 5, 2026, the average yearly pay for full stack data engineer in South Carolina is $125,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $146,600.00 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 South Carolina?

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

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

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

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

Cities in South Carolina 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 South Carolina as of June 2026, with employment types broken down into 11% As Needed, 67% Full Time, and 22% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,061 per year, or $60.1 per hour.

Senior AWS Full Stack Software Engineer

System One

Columbia, SC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description

Job Title: Senior AWS Full Stack Software Engineer Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Type: Permanent Full Time

Responsibilities • Develop and maintain full stack applications using Java/Spring Boot, Python, and Angular. • Build and support cloud native applications and services on AWS, including Lambda, ECS/EKS, S3, API Gateway, DynamoDB, and RDS. • Develop REST APIs, microservices, integrations, and distributed application components. • Incorporate AI/GenAI tools such as GitHub Copilot, ChatGPT, and LLM based solutions into development workflows. • Work with LLM APIs and agentic/agent based workflows to automate tasks and enhance application capabilities. • Use AI assisted development practices for code generation, unit testing, test automation, and code reviews. • Participate in peer reviews and maintain strong standards for code quality, performance, security, and maintainability. • Translate business and technical requirements into reliable application solutions. • Contribute to CI/CD, automated testing, and modern DevOps practices. • Mentor junior engineers while remaining an active, hands-on contributor.

Requirements • 5+ years of full stack software engineering experience in enterprise application environments. • Strong hands-on development experience with Java and Spring Boot. • Strong experience developing applications and services using Python. • Front end development experience with Angular, TypeScript, HTML, and CSS. • Hands on experience developing and deploying applications on AWS. • Experience with AWS services such as Lambda, ECS/EKS, S3, API Gateway, DynamoDB, and RDS. • Strong understanding of REST APIs, microservices, and distributed systems. • Practical experience using Generative AI and AI assisted development tools, such as GitHub Copilot and ChatGPT. • Experience working with Large Language Models (LLMs), LLM APIs, and agentic or agent-based workflows. • Experience applying AI to software engineering activities such as code generation, unit testing, test automation, and code reviews. • Familiarity with CI/CD pipelines, DevOps practices, Git, and automated testing frameworks. • Strong debugging and problem-solving skills with the ability to work independently on complex technical assignments. • Ability to work effectively with business and technology stakeholders in an enterprise environment. • Experience mentoring or providing technical guidance to junior developers. • Education: Bachelor's degree in computer science, Software Engineering, Information Technology, or a related technical field.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI- Ref: #404-IT Pittsburgh

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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