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Frontend Data Visualization Jobs in Florida (NOW HIRING)

Develop and maintain data visualization dashboards and ensure responsive, cross-browser compatible ... Experience with frontend frameworks such as Angular, RxJS, Material and Bootstrap. * Strong ...

Develop and maintain data visualization dashboards and ensure responsive, cross-browser compatible ... Experience with frontend frameworks such as Angular, RxJS, Material and Bootstrap. * Strong ...

Build and enhance front-end components using React to deliver intuitive, data-rich user experiences ... Support data modeling and visualization efforts aligned to DoD risk taxonomies * Participate in ...

Own front-end architecture using React, establishing patterns and standards for intuitive, data ... Lead data modeling and visualization efforts aligned to DoD risk taxonomies * Serve as a technical ...

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Frontend development (Angular, React, Vue, Typescript, etc.) • Experience with real time ... Cloud technologies; 3D Modeling • Geospatial data processing and visualization (GDAL, PDAL ...

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Frontend Data Visualization information

What is a Frontend Data Visualization specialist?

A Frontend Data Visualization specialist is a professional who designs, develops, and implements interactive visual representations of data using web technologies. They combine skills in frontend development—such as HTML, CSS, and JavaScript—with expertise in data visualization libraries like D3.js, Chart.js, or Plotly. Their role is to turn complex data sets into intuitive, visually engaging charts, graphs, and dashboards that help users understand and analyze information. They often collaborate with data analysts, UX/UI designers, and backend developers to ensure data is accurately and effectively presented. Frontend Data Visualization specialists are essential in making data-driven insights accessible and actionable for a wide range of audiences.

What are the key skills and qualifications needed to thrive as a Frontend Data Visualization specialist, and why are they important?

To thrive as a Frontend Data Visualization specialist, you need strong proficiency in JavaScript, HTML, CSS, and libraries like D3.js or Chart.js, often supported by a degree in computer science or a related field. Familiarity with data fetching APIs, version control systems like Git, and experience with visualization frameworks or tools (e.g., Tableau, Power BI) are typically required. Creativity, problem-solving, and the ability to communicate complex data insights visually are standout soft skills. These competencies are crucial for transforming raw data into compelling, interactive visuals that drive better decision-making and user engagement.

What are some common challenges faced by Frontend Data Visualization professionals when collaborating with cross-functional teams?

Frontend Data Visualization professionals often work closely with data scientists, backend engineers, and product managers to create intuitive, interactive visual representations of complex data. A common challenge is ensuring that the visualizations accurately reflect the underlying data while remaining user-friendly and visually appealing. Effective communication is key, as translating technical data requirements into interactive UI components can involve balancing technical feasibility with user experience. Additionally, aligning on data freshness, performance, and responsive design standards often requires regular coordination across teams.
What cities in Florida are hiring for Frontend Data Visualization jobs? Cities in Florida with the most Frontend Data Visualization job openings:

Development Engineer

Power Systems Mfg., LLC

Jupiter, FL • On-site

Full-time

Re-posted 20 days ago


Job description

POSITION: Development Engineer, Monitoring & Diagnostics

LOCATION: Jupiter, Florida / Hybrid

STATUS: Salaried Non-Exempt


JOB SUMMARY

ESSENTIAL DUTIES AND RESPONSIBILITIES

The essential functions of the job include, but are not limited to, the following:

  • Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities (AWS full stack development, EC2, S3, Lambda, Amplify)
  • Utilize AI models for knowledge base agent/digital twin of gas turbine.
  • Develop/maintain software for monitoring, analyzing and graphically representing gas turbine operations.
  • Continuously refine/train models to mimic real life engine behavior, minimize false alarms, and predict gas turbine alarms before they occur
  • Work with operational team to support and troubleshoot issue with customer data and cloud infrastructure
  • Continuously improve the OSIsoft PI system architecture
  • Other duties as assigned


MINIMUM REQUIREMENTS

  • Education: Bachelor’s degree in Computer Science, Data Science, Data Analytics, Mechanical Engineering, or a related quantitative/technical field.
  • Generative AI & ML: Practical experience with Machine Learning (ML) and Artificial Intelligence (AI) frameworks. Familiarity with Large Language Models (LLMs) and Foundational Models via platforms like Amazon Bedrock.
  • Full-Stack Development: Understanding of AWS Full-Stack development workflows, including API Management, IAM roles, and cloud security best practices.
  • AWS Cloud Ecosystem: Hands-on experience with AWS Cloud Architecture. Proficiency in core services including EC2 (Compute), S3 (Storage), and AWS Lambda (Serverless).
  • Programming Languages: Proficiency in at least one modern language: Python, TypeScript, C#, or MATLAB.
  • DevOps & Tools: Basic knowledge of Software Development Life Cycle (SDLC), Version Control (Git/GitHub), and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • Methodology: Familiarity with Agile/Scrum environments and iterative development processes.
  • Data Analysis: Strong aptitude for data visualization and data modeling.
  • DataBase experience: Experience with SQL and noSQL databases.

Preferred Skills/Experience

  • AWS Certifications: Active certifications such as AWS Certified Developer, Solutions Architect, or Machine Learning – Specialty.
  • Advanced AI/ML: Exposure to Natural Language Processing (NLP), Neural Networks, or Generative AI integration via Amazon Bedrock and SageMaker.
  • Data Science Stack: Proficiency in data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn)
  • Modern Web Frameworks: Experience in Full-Stack Development using React.js and TypeScript to build responsive user interfaces.
  • API Development: Knowledge of building and consuming RESTful APIs or GraphQL to connect front-end applications with cloud backends.
  • State Management: Familiarity with tools like Redux, Context API, or Zustand for complex UI logic.
  • Version Control: Mastery of Git workflows, including branching strategies, pull requests, and code reviews.
  • CI/CD Pipelines: Experience with AWS CodeCommit, GitHub Actions, or GitLab CI for automated testing and deployment.
  • Infrastructure as Code (IaC): Basic understanding of AWS CloudFormation or Terraform is a significant advantage.

Equal Opportunity Veterans/Disabled