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Full Stack Data Engineer Jobs in Cocoa, FL (NOW HIRING)

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 ...

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 ...

POSITION OVERVIEW ThreatLocker's Full Stack Developers support in the development, expansion and maintenance of our unique and innovative cybersecurity software. They will be responsible for, but not ...

POSITION OVERVIEW ThreatLocker's Full Stack Developers support in the development, expansion and maintenance of our unique and innovative cybersecurity software. They will be responsible for, but not ...

POSITION OVERVIEW ThreatLocker's Senior Full Stack Engineer supports the development, expansion and maintenance of our unique and innovative cybersecurity software. They will be responsible for, but ...

POSITION OVERVIEW ThreatLocker's Senior Full Stack Engineer supports the development, expansion and maintenance of our unique and innovative cybersecurity software. They will be responsible for, but ...

Sr.Full stack Developer

Orlando, FL · On-site

$49 - $63.25/hr

Full stack Developer Duration: 6-12 months Location: Onsite Lake Mary , Florida Work Type: Rate ... Implement data persistence and complex queries using JPA with relational or NoSQL databases.

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Full Stack Data Engineer information

See Cocoa, FL salary details

$39K

$118K

$166.7K

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 Cocoa, FL is $117,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $138,300.00 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 Cocoa, FL? For Full Stack Data Engineer jobs in Cocoa, FL, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Cocoa, FL look for? The top searched job categories for Full Stack Data Engineer jobs in Cocoa, FL are:
What cities near Cocoa, FL are hiring for Full Stack Data Engineer jobs? Cities near Cocoa, FL with the most Full Stack Data Engineer job openings:

Associate Software (Full-Stack) Developer

VTG

Orlando, FL • On-site

$85K - $115K/yr

Full-time

Re-posted 6 days ago


Job description

Overview
VTG is seeking a high-potential, early-career Associate Software Engineer to support the continued development of the Supply Chain Illumination and Program Risk (SCIPR) application. SCIPR is a mission-critical, government-owned application delivering supply chain risk visibility and decision support across multiple government entities. 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 in Orlando, FL (preferred), and or DC Metro Area (considered).
You will operate in an agile product environment, contributing to a modern web-based platform that integrates diverse data sources, applies risk scoring across DoD taxonomies, and delivers actionable insights to senior defense stakeholders.
What will you do?
  • Design, develop, and maintain full-stack features for the SCIPR web application

  • Build and enhance front-end components using React to deliver intuitive, data-rich user experiences

  • Develop backend services and APIs using Python

  • Integrate structured and unstructured data sources to support supply chain risk analytics

  • Collaborate within an Agile/Scrum team using Jira for backlog management and sprint execution

  • Maintain code quality, version control, and CI/CD pipelines using GitLab

  • Support data modeling and visualization efforts aligned to DoD risk taxonomies

  • Participate in requirements refinement, sprint planning, and technical design discussions

  • Contribute to documentation required for Risk Management Framework (RMF) alignment and auditability

Do you have what it takes?
Required Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, or related technical field

  • 1-5 years of relevant experience (internships, academic projects, or early professional experience may be considered)

  • Proficiency in Python for backend development

  • Experience building front-end applications using React (or similar modern JS frameworks)

  • Familiarity with Git-based version control (GitLab preferred)

  • Exposure to Agile development practices and tools such as Jira

  • Strong problem-solving skills and ability to operate in a fast-paced, mission-driven environment
  • Must be able to obtain and maintain an active DoD Secret clearance

Preferred Qualifications:
  • Familiarity with cloud environments (AWS, Azure, or DoD platforms such as DENIX/COSMOS equivalents)

  • Exposure to data analytics, data pipelines, or visualization tools (e.g., Tableau, Power BI, or D3.js)

  • Basic competency in Bash scripting and Linux environments, including command-line operations and file system navigation

  • Familiarity with web application deployment using Docker and Docker Compose, or equivalent containerization tools

  • Understanding of efficient design principles in web applications, including lazy loading, optimized rendering and asset management

  • Solid understanding of time complexity and computational efficiency, especially when handling large datasets or data pipelines.

  • Understanding of supply chain, logistics, or risk modeling concepts

  • Experience working in or supporting DoD or federal programs

  • Familiarity with security practices aligned to RMF or National Institute of Standard and Technology (NIST) frameworks

What Sets This Role Apart
  • Mission Impact: Directly supports DoD supply chain resilience and readiness

  • Growth Opportunity: High visibility with senior stakeholders; strong upward mobility into senior engineering, product, or analytics roles

  • Modern Tech Stack: Work with contemporary tools across full-stack development, data integration, and analytics

  • Agile Environment: True product-oriented development with influence over backlog prioritization and feature delivery

  • Strategic Exposure: Opportunity to contribute to a flagship capability aligned with national-level supply chain initiatives

Ideal Candidate Profile
You are a technically grounded, intellectually curious developer who wants to apply your skills to meaningful problems. You are comfortable navigating ambiguity, eager to learn, and motivated by building solutions that drive real-world outcomes, not just writing code
VTG's estimated starting pay range is $85,000-$115,000 which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.