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Full Stack Data Engineer Jobs in Kingsland, GA (NOW HIRING)

Senior Software Engineer

Jacksonville, FL

$113K - $149K/yr

... design, full-stack development, and long-term optimization of our enterprise web and mobile ... You possess a passion for software craftsmanship, an analytical mindset for optimizing heavy data ...

Senior Software Engineer

Jacksonville, FL · On-site

$113K - $149K/yr

... design, full-stack development, and long-term optimization of our enterprise web and mobile ... You possess a passion for software craftsmanship, an analytical mindset for optimizing heavy data ...

Kavaliro is seeking a highly skilled Full Stack .NET MAUI Developer on a contract basis for our client based out of Jacksonville, FL. This role requires a strong foundation in cross-platform mobile ...

Showing results 41-60

Full Stack Data Engineer information

See Kingsland, GA salary details

$38.6K

$117.1K

$165.5K

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

As of Aug 20, 2026, the average yearly pay for full stack data engineer in Kingsland, GA is $117,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $137,200.00 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 cities near Kingsland, GA are hiring for Full Stack Data Engineer jobs?

Cities near Kingsland, GA with the most Full Stack Data Engineer job openings:

Infographic showing various Full Stack Data Engineer job openings in Kingsland, GA as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $117,054 per year, or $56.3 per hour.

Senior Software Engineer

Smart AutoCare

Jacksonville, FL

$113K - $149K/yr

Full-time

Re-posted 4 days ago


Job description

Job Title: Sr Software Engineer

Department: IT

Pay Grade:
   

Overtime Eligibility:
 
  Exempt

Date:  
 
June, 2026

Job Summary:

We are seeking an innovative, high-caliber Senior Software Engineer to drive the architectural design, full-stack development, and long-term optimization of our enterprise web and mobile-responsive applications. In this role, you will be the cornerstone of our technology squad, building robust digital platforms that power our ancillary automotive insurance products.

The ideal candidate bridges exceptional technical depth in the Microsoft ecosystem with sharp business acumen. You possess a passion for software craftsmanship, an analytical mindset for optimizing heavy data environments, and the collaborative leadership skills required to transform strategic business requirements into elegant, high-performing code.

Minimum Qualifications:

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering or equivalent track of professional engineering experience

Experience

7+ years of proven success developing complex, full-stack enterprise applications professionally

Licensure, Certification, and/or Registration

Supervision Exercised

☐ Direct    ☐ Indirect   ☒ N/A

Typical Positions Supervised

N/A   

Primary Job Functions

Software Architecture & Full-Stack Development

  • Design & Engineering: Architect, develop, test, and deploy resilient, scalable enterprise applications using modern Microsoft .NET technologies (C#, ASP.NET, .NET Core).
  • User Experience UI/UX: Construct high-performance, mobile-responsive web interfaces that deliver seamless customer journeys for insurance administration, claims processing, and customer service portals.
  • API Management: Design, consume, and secure highly scalable RESTful and SOAP APIs using modern JSON-based architectures to integrate smoothly with third-party vendors and external business partners.
  • AI Integration: Actively leverage and champion the use of AI-assisted engineering tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate development velocities, automate unit testing, and optimize code documentation.

Database Optimization & Data Engineering

  • Database Design: Structure complex SQL Server databases, designing clean schemas, maintaining relational integrity, and writing highly optimized stored procedures.
  • Performance Tuning: Diagnose, profile, and troubleshoot complex query performance issues, ensuring system uptime and high throughput across high-volume production data environments.

Engineering Excellence, Governance, & DevOps

  • Code Quality & Mentorship: Lead formal code reviews, mentor team members, and strictly champion modern design patterns, SOLID principles, and secure coding techniques (OWASP).
  • Modern Workflows: Utilize Git-based version control alongside advanced branching strategies. Contribute directly to the implementation and optimization of automated CI/CD deployment pipelines and DevOps best practices.
  • Cross-Functional Collaboration: Partner effectively with Product Owners, Business Analysts, and Quality Assurance specialists to translate complex strategic goals into technical execution.

Periodic Job Functions

Skills & Competencies Required

  • Strong full-stack development experience using Microsoft .NET technologies (C#, ASP.NET, .NET Core/.NET).
  • Extensive experience with SQL Server database design, development, performance tuning, and troubleshooting.
  • Experience working with Git-based source control repositories and modern branching strategies.
  • Experience developing and consuming SOAP and RESTful web services using JSON.
  • Strong understanding of object-oriented programming principles, software architecture, and design patterns.
  • Experience developing responsive web applications for desktop and mobile users.
  • Knowledge of application security, authentication, authorization, and secure coding practices.
  • Experience with Agile software development methodologies.
  • Excellent analytical, problem-solving, and communication skills.
  • Experience with the following preferred:
    • Microsoft Azure cloud services
    • CI/CD pipelines and DevOps practices
    • Insurance, financial services, or other regulated industries
    • Integrating with third-party vendors and external business partners
    • Leveraging AI-assisted software development tools such as GitHub Copilot, ChatGPT, Cursor, Claude, or similar technologies