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Frontend Data Visualization Jobs in Florida (NOW HIRING)

... front-end interfaces for accessing and visualizing geospatial and structured data. * Proficient in ... Developing and deploying full-stack applications that enable data visualization, dashboarding, and ...

... front-end interfaces for accessing and visualizing geospatial and structured data. * Proficient in ... Developing and deploying full-stack applications that enable data visualization, dashboarding, and ...

Optimize data integration pipelines, API services, and front-end interfaces for accessing and ... Developing and deploying full-stack applications that enable data visualization, dashboarding, and ...

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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:
Full Stack Data Engineer

Full Stack Data Engineer

SOSi

Doral, FL • On-site

Full-time

Re-posted 13 days ago


Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
**This position is contingent upon contract award**
SOSi is seeking a Full-Stack Data Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • Develop and maintain the data pipeline infrastructure, ensuring scalable ingestion, transformation, and integration of structured and unstructured datasets within the cloud-based CIP platform.
  • Optimize data storage strategies, implementing efficient query execution, indexing, and retrieval techniques for high-volume mission datasets.
  • Integrate APIs for secure data sharing across operational environments, ensuring controlled access and compliance with security frameworks.
  • Submit the Data Pipeline Optimization Report, detailing improvements in ingestion speed, storage efficiency, and API integrations.
  • Integrate all ingestion and transformation workflows with the Identity and Access Management (IAM) framework provisioned under other work orders; and coordinate with the work order team to define required roles, enforce RBAC policies, and maintain compliance with authentication and access standards across IL environments.

Qualifications
  • Active TS/SCI clearance.
  • Bachelor's degree in Computer Science, Data Engineering, or a related field, or five (5) years of equivalent experience in full-stack development and data engineering.
  • Knowledge and capability to develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.
  • Proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.
  • Expertise in building scalable, secure web applications, implementing metadata-driven search and retrieval features, and integrating APIs for seamless data interoperability is required
  • Demonstrated experience in: Developing and deploying full-stack applications that enable data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases. Implementing RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.
  • Managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products.
  • Optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification.

Additional Information
Work Environment
  • Normal office conditions.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.