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

The Walt Disney Company

Sr Data Engineer

Orlando, FL · On-site

$148K - $199K/yr

Debug and troubleshoot across a broad technical stack * Demonstrated ownership of data products and ... full range of medical, financial, and/or other benefits, dependent on the level and position ...

Leidos

Data Center Infrastructure Engineer

Orlando, FL · On-site

$100K - $131K/yr

Provide support with the design, implementation, operation, and maintenance of full stack data ... Perform as a technical team member of Engineers in the maintenance (technical including VMware ...

Leidos

Data Center Infrastructure Engineer

Orlando, FL

$100K - $131K/yr

Provide support with the design, implementation, operation, and maintenance of full stack data ... Perform as a technical team member of Engineers in the maintenance (technical including VMware ...

The Walt Disney Company

Data Engineer

Orlando, FL · On-site

$101K - $136K/yr

... full range of medical, financial, and/or other benefits, dependent on the level and position ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL ...

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Showing results 21-40

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Cocoa, FL

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:
Full Stack Data Engineer jobs near you

Experienced Full Stack .NET Engineer

Biller Genie

Orlando, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Job Title: Experienced Full Stack .NET Engineer
Location: Orlando, FL
Work Arrangement: Full-time, In-Office
Position Overview: We are seeking experienced AI-enabled .NET full-stack engineers who can quickly understand our existing codebase and significantly contribute to the development of complex, innovative solutions in our fast-paced fintech environment. As a key member of our engineering team, you will take ownership of significant features, driving them from conception to deployment. We need a versatile 'Swiss Army Knife'—a engineer who is comfortable across the entire SDLC, from architectural design and implementation to testing and deployment. Your experience and expertise will be vital in delivering high-quality, robust solutions. Join our growing team and make a substantial impact on our platform! 

About Us: Recently ranked #482 on the Inc. 5000 fastest growing companies in the United States, Biller Genie is an award-winning B2B SaaS platform that is entering the Belfast market with ambitious plans to scale our team rapidly, with over 100 hires planned through 2026.
We are an AI-enabled engineering team, and we believe the future is about empowering engineers with the latest tools, building through custom skills, agents, and harnesses, and we are looking for people who embrace AI, are excited about the future, and want to help shape the way we embed AI tooling throughout our developer experience.   

Primary Job Responsibilities:

  • Design & build future-proof solutions to support growing business needs while thoroughly considering the system impact 
  • Work closely with our senior engineers to develop solutions from idea to implementation by estimating, planning, tracking and managing progress, risks, and dependencies. 
  • Gather and refine requirements, and release software in a timely fashion 
  • Be adaptive and strike a good balance between speed and efficiency 
  • Work with our technical support team to identify, reproduce, and remediate bug tickets 
  • Build and deliver features through agentic tooling — designing, iterating on, and improving our custom skills, agents, and harnesses as part of the work 
  • Contribute prompts, skills, and workflow improvements back to the team so our AI-enabled developer experience compounds 
  • Perform other duties required by Management 

Essential Criteria:

  • BSc or MSc in Computer Science / related qualification OR commercial experience of developing in C#, Java or other OO programming languages 
  • Minimum 3 years of hands-on commercial experience programming on the .NET platform using C#, including ASP.NET (MVC) 
  • Experience with Design Patterns, refactoring, OO Design and related areas 
  • Practical hands-on experience with AI coding assistants and agentic engineering workflows, and a genuine appetite to work primarily through agents — owning architecture, review, and quality rather than typing every line 
  • Exposure to building web services using Web API 
  • An understanding of database design and development 
  • Hands-on experience with HTML, JavaScript, CSS including jQuery 
  • Strong attention to detail and work ethic 
  • Strong analytical and problem-solving skills 
  • Excellent communication (both written and verbal) and interpersonal skills 
  • Experience of cloud technologies such as Azure/AWS/GCP 
  • Previous experience working with source control tools (TFS, SVN, or GIT) 

Desirable Criteria:

  • Experience with Azure Functions and Queues 
  • Experience building custom agent skills, harnesses, MCP servers, or prompt libraries 
  • Experience defining evals, guardrails, or review practices for AI-generated code 
  • Experience in testing methodologies 
  • Experience of LEAN software development practices 
  • Knowledge of CI/CD systems and implementation practices 
  • Hands-on experience with front-end frameworks such as Bootstrap 
  • Knowledge on .NET Core and Entity framework Code First migrations  
  • Proficient with Claude or Claude Code 
  • Experience in Financial services industry 

What We Offer: 

  • Comprehensive Medical, Dental, and Vision Plans
  • 401k with up to 4% company match
  • Flexible open paid time off (PTO)

Our Mission: To provide an automated A/R platform that seamlessly integrates existing business processes for the SMB market. 

Our Core Values: 

Get Shit Done Right - We work hard and ensure tasks are completed correctly and on time, every time. 
Own it - We are subject matter experts who know what we know, and we are confident enough to speak up when we see something wrong. 
Catch Up - We are high performers and love a fast-paced environment. 
Believe in the Genie - We are passionate about where we are going as a team, and we show we care.  
Class Shines - We are articulate professionals who carry ourselves well and speak with purpose. 

How We Work: Our engineers work with agents and harnesses as a default, not an experiment. Our interview process includes a practical exercise using AI tooling. If that sounds like the way you want to build, you will thrive here; if you would rather write every line by hand, this is likely not the right fit. 

Please note we are unable to offer visa sponsorship.

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