1

Frontend Data Visualization Jobs in Ohio (NOW HIRING)

Senior Software Engineer

Dayton, OH · On-site

$119K - $157K/yr

... visualization • Integrate STK (Engine, Components, or Desktop) with external tools, models, and ... data sources to enable end-to-end mission workflows • Implement backend services using Python and ...

Senior Software Engineer

Dayton, OH · On-site

$119K - $157K/yr

... visualization • Integrate STK (Engine, Components, or Desktop) with external tools, models, and ... data sources to enable end-to-end mission workflows • Implement backend services using Python and ...

Showing results 21-40

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 Ohio are hiring for Frontend Data Visualization jobs?

Cities in Ohio with the most Frontend Data Visualization job openings:

Full Stack Engineer - AI Applications

First Solar

Perrysburg, OH • On-site

Full-time

Posted 11 days ago


First Solar rating

6.6

Company rating: 6.6 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

460th of 545 rated manufacturers


Job description


First Solar reserves the right to offer you a role most applicable to your experience and skillset.
Basic Job Functions:
  • Design, develop, and maintain full stack AI-powered web applications that support the organization's digital transformation and product engineering initiatives.
  • Build and deploy production-grade applications using React/TypeScript frontends and Python/FastAPI backends on Azure cloud infrastructure.
  • Architect scalable, containerized solutions and establish reusable design patterns across multiple AI product workstreams spanning analytics, reliability engineering, technical sales, and field operations.
  • Collaborate with data scientists and cross-functional stakeholders to integrate large language models (LLMs), AI agents, and machine learning models into bespoke business applications.
  • Design and implement data engineering pipelines to ingest, transform, and serve data from heterogeneous sources including SQL databases and third-party APIs.
  • Oversee architectural decisions, CI/CD pipelines, and infrastructure-as-code to ensure reliability, security, and maintainability across the software development lifecycle.
  • Provide technical leadership by researching and adopting industry-standard best practices, setting engineering standards, and mentoring team members on software engineering principles.

Education/Experience:
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field is required.
  • Master's degree in Computer Science, Software Engineering, Data Engineering, or a related discipline is preferred.
  • Minimum of 5 years of professional experience in full stack software development with modern web frameworks and cloud-native architectures is required.
  • Experience with AI/ML integration, LLM-based application development, Azure cloud services, and DevOps practices is highly preferred.
  • Experience designing and building ETL/ELT data pipelines, data ingestion workflows, or data platform architectures is preferred.

Required Skills/Competencies:
  • Strong proficiency in React with TypeScript and modern frontend tooling (Vite, Tailwind CSS).
  • Advanced backend development skills in Python (FastAPI), with the ability to design and build RESTful APIs and asynchronous services.
  • Hands-on experience with Azure cloud services including Container Apps, Blob Storage, Cognitive Search, Key Vault, Azure AI Foundry, Azure OpenAI, Azure Identity, and Azure Data Factory or equivalent data integration services.
  • Proficiency in containerization and orchestration with Docker and Kubernetes, and experience building CI/CD pipelines with Azure DevOps or Azure Pipelines.
  • Experience with Infrastructure as Code (Terraform) for provisioning and managing cloud resources.
  • Strong knowledge of SQL databases (Microsoft SQL Server preferred), ORM frameworks (SQLAlchemy), and database migration tools (Alembic).
  • Data engineering skills including designing ETL/ELT pipelines, data modeling, data ingestion from heterogeneous sources (SQL, Excel, flat files, APIs), and data quality validation.
  • Demonstrated experience integrating AI/ML models and large language models (LLMs) into production-grade applications.
  • Solid understanding of application security best practices including OWASP principles, input validation, secrets management, and RBAC/OAuth/OIDC authentication and authorization patterns.
  • Experience with testing frameworks and methodologies including unit testing, integration testing, and test automation (Pytest, Jest, React Testing Library).
  • Knowledge of caching strategies (Redis), query optimization, and application performance tuning for high-availability systems.
  • Experience with monitoring and observability tools such as Azure Monitor, Application Insights, structured logging, and alerting frameworks.
  • Familiarity with event-driven and message-driven architectures (Azure Service Bus, Event Grid) for asynchronous processing and agent-based workloads.
  • Solid understanding of software development lifecycle (SDLC) best practices, version control (Git), and agile methodologies.
  • Ability to make sound architectural decisions, establish coding standards, and create reusable design patterns for scalable systems.
  • Experience with data visualization libraries (Recharts, Plotly, Matplotlib) and data processing frameworks (Pandas, NumPy).
  • Strong written and verbal communication skills with the ability to collaborate effectively across cross-functional teams and translate business requirements from non-technical stakeholders into technical solutions.
  • Demonstrated technical leadership skills with the ability to research, evaluate, and adopt industry-standard engineering practices and mentor peers in their application.
  • Proficient use of all Microsoft Office suite programs.

Essential Responsibilities:
  • Design, develop, test, and maintain full stack web applications using React/TypeScript frontends and Python/FastAPI backends to deliver AI-powered tools for internal business units.
  • Architect and implement scalable, cloud-native solutions on Azure including Container Apps, Kubernetes, Virtual Networks, Azure Container Registry, and Private Endpoints.
  • Integrate large language models (LLMs), AI agents, and machine learning models into production applications to support business analytics, predictive modeling, and automated decision-making.
  • Design, build, and maintain ETL/ELT data pipelines to ingest, transform, and serve data from heterogeneous sources including SQL databases and external APIs.
  • Build and maintain CI/CD pipelines using Azure DevOps for automated testing, container image builds, and deployment workflows.
  • Develop and manage Infrastructure as Code (IaC) using Terraform to provision, configure, and maintain Azure cloud resources.
  • Create data-driven dashboards, visualization tools, and analytics platforms for performance prediction, quality engineering, and field operations use cases.
  • Implement application security best practices including secure coding standards, vulnerability remediation, secrets management, and access control design across all applications.
  • Establish and enforce coding standards, reusable component libraries, and architectural best practices across all product engineering projects.
  • Implement monitoring, observability, and alerting solutions using Azure Monitor and Application Insights to ensure production reliability and performance.
  • Collaborate with data scientists to operationalize machine learning models, integrate data pipelines, and translate analytical prototypes into production-ready applications.
  • Engage directly with non-technical business stakeholders across Performance and Prediction Analytics, Quality and Reliability Engineering, Global Quality, Technical Sales, Environment Health and Safety, Recycling, and Warranty and Post Sales to gather requirements and deliver tailored solutions.
  • Provide technical leadership and mentorship to team members including data scientists and future engineering hires, setting industry-standard best practices for code quality, architecture, testing, and DevOps.
  • Participate in code reviews, technical design discussions, and documentation to promote knowledge sharing and engineering excellence.
  • Manage the full software development lifecycle from requirements gathering and technical design through development, testing, deployment, and ongoing maintenance.
  • Other duties as assigned.
  • Job description subject to change at any time.

Reporting Relationships:
  • This position reports to the Head of AI Transformation.
  • This position will not have direct reports but is expected to serve as a technical leader, setting engineering standards and mentoring data scientists and future team members on software development best practices.

Travel:
  • 0% - 5% (On occasion/as needed for training, etc.)

Estimated Salary Range:
  • $150,880.00 - $215,050.00 annually

US Physical Requirements:
Office Physical Requirements:
All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship.
Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required.
Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

What First Solar employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom