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

Data Engineer (Contract)

Charleston, SC · On-site +1

$107K - $128K/yr

Time & materials based on agreed scope and hours worked Requirements • 5+ years experience in data engineering within a modern cloud data stack • Advanced experience with BigQuery, Dbt, SQL ...

Showing results 41-60

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 Aug 24, 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:

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 Staff Software Engineer - Full Stack Developer

Jobtailor

Greenville, SC • On-site

$113.20 - $188.80/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

Job Description Summary

Senior Staff Software Engineer will work with a Scrum Team and a Software Product Owners to help develop world class digital engineering tools and design the digital thread of connected tools and processes for development of wind turbines. Currently, this suite of tools includes building cloud based web tools for automating and connecting engineering tools for speed in customer proposals and consolidating digital tools for wind turbine/farm simulations, loads evaluation and simulation configuration management.

Job Description

Essential Responsibilities

  • Advance state-of-the-art computer modeling and process improvements of Wind Turbines engineering digital tools
  • Work with Product/Software Owners and functional stakeholders in engineering and commercial teams to refine our vision and execution for the engineering suite of tools
  • Look for ways to develop and integrate new digital technologies to add value to internal applications as well as improve overall efficiencies.
  • Working with a global team you will be responsible for full software lifecycle including coding, documentation, training, and quality testing.
  • Coach & Mentor team members in your area of expertise.

Required Qualifications:

  • Bachelor's Degree in Computer Science or Engineering or equivalent from an accredited college or university
  • Strong programming experience or equivalent
  • Proven experience in Cloud Computing/AWS.
  • Familiarity with Agile or Other Software Management techniques.

Desired Qualifications/Characteristics:

  • Strong full-stack experience with React and modern JavaScript
  • Comfortable working in a Vite-based frontend and maintaining data-heavy UI flows
  • Solid Python experience for backend services and AWS Lambda development
  • Good SQL and PostgreSQL skills, including reading existing schemas and tracing data through views and functions
  • Experience with AWS services such as Lambda, S3, and DynamoDB
  • Able to debug end-to-end flows across frontend, API adapters, backend services, database, and cache layers
  • Familiar with artifact/cache-based web architectures, not just direct API-to-DB apps
  • Experience writing and maintaining automated tests, especially Jest and pytest
  • Comfortable working in an existing enterprise codebase with established patterns rather than rewriting from scratch
  • Strong troubleshooting skills for production-like environments, deployments, and data consistency issues
  • Experience with workflow-style or server-driven UIs
  • Experience with PowerShell and Windows-based development environments
  • Familiarity with QA/prod deployment practices and safe handling of environment-specific data
  • Experience supporting engineering tools used by analysts or operations teams, not just consumer-facing apps
Additional Information

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: No

For candidates applying to a U.S. based position, the pay range for this position is between $113,200.00 and $188,800.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on July 23, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

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