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Full Stack Data Engineer Jobs in Florida (NOW HIRING)

Geologics

Full Stack Software Engineer

Orlando, FL

$100/hr

Full Stack Software Engineer Client: Defense-Aerospace Hourly Rate: up to $100/hr (W2, non ... Ensure data integrity, security, and compliance across all platform domains, incorporating archival ...

Revolutional, LLC

Full Stack Engineer

Miami, FL · Remote

$110/hr

Full Stack Engineer Location: Remote Terms: Full-time Salary Range: $110-160k DOE Clearance ... data management and operational workflows. * Experience with MVC architecture and JDBC.

Hillpointe

Full Stack Developer

Winter Park, FL · Remote

Full Stack Engineer Hillpointe is hiring a Full Stack Engineer to help build HPOS, the property ... You will help establish the architecture, design the data model, ship the first services, and set ...

ShyftOff Corp

Senior Full Stack Engineer

Tampa, FL · On-site

$110 - $150/hr

To keep pace, we need a hands-on Full Stack Engineer who loves building scalable systems , shipping ... FastAPI Data : PostgreSQL Cloud: ECS, EC2, Lambda, RDS, S3 Tools: n8n, Cursor, Github Copilot ...

ShyftOff

Senior Full Stack Engineer

Tampa, FL · On-site

To keep pace, we need a hands-on Full Stack Engineer who loves building scalable systems , shipping ... FastAPI Data : PostgreSQL Cloud: ECS, EC2, Lambda, RDS, S3 Tools: n8n, Cursor, Github Copilot ...

ShyftOff

Senior Full Stack Engineer

Tampa, FL · On-site

To keep pace, we need a hands-on Full Stack Engineer who loves building scalable systems , shipping ... FastAPI Data : PostgreSQL Cloud: ECS, EC2, Lambda, RDS, S3 Tools: n8n, Cursor, Github Copilot ...

Hillpointe

Full Stack Developer

Winter Park, FL · Remote

Full Stack Engineer Hillpointe is hiring a Full Stack Engineer to help build HPOS, the property ... You will help establish the architecture, design the data model, ship the first services, and set ...

Hillpointe

Full Stack Developer

Winter Park, FL · On-site

Full Stack Engineer Hillpointe is hiring a Full Stack Engineer to help build HPOS, the property ... You will help establish the architecture, design the data model, ship the first services, and set ...

MANTECH

Full Stack Software Engineer

Tampa, FL · On-site

The Full Stack Software Engineer will leverage their strong technical background and knowledge to ... Collaborate with Data Analysts, Scientists, and Engineers to create, troubleshoot, and recommend ...

VTG

Associate Software (Full-Stack) Developer

Orlando, FL · On-site

$85K - $115K/yr

This role sits at the intersection of data engineering, full-stack development, and mission analytics, with direct impact on national security and industrial base resilience. This position is located ...

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Showing results 41-60

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Florida

Full Stack Data Engineer information

See Florida salary details

$33.3K

$100.7K

$142.4K

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

As of Aug 12, 2026, the average yearly pay for full stack data engineer in Florida is $100,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $118,100.00 per year, depending on experience, location, and employer.

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 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.

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 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.
What are popular job titles related to Full Stack Data Engineer jobs in Florida? For Full Stack Data Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Florida look for? The top searched job categories for Full Stack Data Engineer jobs in Florida are:
What cities in Florida are hiring for Full Stack Data Engineer jobs? Cities in Florida 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 Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $100,713 per year, or $48.4 per hour.

Full Stack Software Engineer

Geologics

Orlando, FL

$100/hr

Contractor

Re-posted 14 days ago

Job description

Role: Full Stack Software Engineer
Client: Defense-Aerospace
Hourly Rate: up to $100/hr (W2, non-benefited)  
Length: 6-month contract
Location: Orlando, FL
Clearance: Candidate must have the Ability to Obtain Secret Clearance. Not needed to start.
 
Description: 
  • Design and implement a scalable platform that enables advanced analytics and AI driven development acceleration.
  • Ensure data integrity, security, and compliance across all platform domains, incorporating archival, disaster recovery, and backup strategies.
  • Define and publish robust APIs that expose data and services to front end clients and third party consumers.
  • Develop responsive UI components using a modern React framework (e.g., Next.js, Shadcn UI Kit) to deliver dashboards, visualizations, and interactive data views.
  • Create and maintain CI/CD pipelines in GitLab for automated testing, linting, and deployment to both cloud based and air gapped environments.
  • Integrate third party services such as email/SMS notifications, and learning management standards (SCORM, xAPI, CMI5).
  • Write comprehensive unit, integration, and end to end tests to protect against regressions and maintain high code quality.
  • Document APIs, data models, and deployment procedures clearly to facilitate cross team collaboration.
  • Leverage AI (e.g., Claude, other LLMs) as a core development assistant to accelerate coding, refactoring, test generation, and design validation.
 
Required Skills:
  • 6 or more years of delivering full stack software solutions on complex, data intensive programs.
  • Version Control & CI/CD: Experience with version control software, preferably GitLab (repos, merge requests, pipelines).
  • Software Fundamentals: Strong grasp of design patterns, automated testing, continuous integration, and code quality practices.
  • Data Technologies: Familiarity with relational databases, messaging services, REST APIs, and object storage.
  • UI/UX Design: Ability to design and implement responsive user interfaces and dashboards.
  • Domain expertise in building end to end full stack solutions that address data flow, security, archival, and disaster recovery concerns.
  • Strategic vision to design platforms that enable AI augmented development, ensuring that the solution remains adaptable as AI capabilities evolve.
  • Ability to leverage AI tools (Cline AI Plugin for VSCode, generative code assistants) to enhance productivity, code quality, and architectural validation, reducing reliance on niche technical specialties  
 
Desired Skills:
  • Agile methodology experience (Scrum, Kanban) and participation in cross functional Agile teams.
  • Advanced DevOps toolset knowledge (Ansible, Nexus, GitLab Runner, Harbor).
  • Proficiency in React, Next.js, Node.js, Shadcn UI Kit, FastAPI, and modern front end ecosystems.
  • Experience with Apache Superset/Trino for cross platform data querying and analytics.
  • Strong scripting abilities (PowerShell, Bash, Python).
  • Prior exposure to Turnkey training or learning architectures.
  • Experience with Kubernetes and cloud/air gapped deployment models
  • Experience with integrating email/SMS notifications
  • Experience with learning management standards (SCORM, xAPI, CMI5).
  • Emphasis on Vision & AI Driven Design
 
Required Education:
Bachelor's degree in Computer Science, Software Engineering, or a related field with supplemental experience (e.g. Aerospace Engineering with experience in software development).
 
If interested in learning more about this position, please email your resume to KDunkin@geologics.com and I will call back with more information.


Education:DegreeEmployment Type: CONTRACTOR

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