Data

Data Visualization Engineer

Looking to hire your next Data Visualization Engineer? Here’s a full job description template to use as a guide.

About Vintti

Vintti is a cutting-edge staffing agency revolutionizing the way US companies build their teams. Leveraging advanced technology and embracing the power of remote work, we connect SMBs, startups, and firms across the United States with top-tier talent from Latin America. Our platform seamlessly integrates professionals into US business ecosystems, regardless of physical borders. Vintti operates on the principle of a borderless future of work, where skills and expertise trump geographical constraints.

Description

A Data Visualization Engineer plays a crucial role in transforming complex data sets into compelling visual narratives that facilitate better decision-making. This role involves designing, developing, and maintaining interactive dashboards, charts, and reports that render data both accessible and insightful. Utilizing a blend of analytical skills and creative flair, these professionals ensure that data is represented in a clear, accurate, and engaging manner. A Data Visualization Engineer typically collaborates with data scientists, analysts, and business stakeholders to interpret requirements and deliver visual tools that illuminate key metrics and trends.

Requirements

- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
- Proven experience as a Data Visualization Engineer or similar role.
- Proficiency in data visualization tools such as Tableau, Power BI, and D3.js.
- Strong understanding of data analysis and data storytelling.
- Experience in SQL and working with relational databases.
- Knowledge of programming languages such as Python, R, and JavaScript.
- Familiarity with ETL processes and data integration techniques.
- Strong grasp of UX/UI design principles for data visualization.
- Excellent problem-solving and analytical skills.
- Ability to manage multiple projects and meet deadlines in a fast-paced environment.
- Excellent communication and collaboration skills, with the ability to convey complex data concepts to non-technical stakeholders.
- Understanding of color theory, layout design, and best practices in data visualization usability.
- Experience with version control systems such as Git.
- Knowledge of data security and governance practices.
- Experience with performance tuning and optimizing data visualization solutions.
- Ability to conduct thorough testing and validation of data visualizations.
- Strong attention to detail and commitment to accuracy and consistency.
- Ability to learn and adapt to new technologies and trends in data visualization.
- Experience with metadata creation and documentation.
- Ability to analyze user feedback and metrics to drive continuous improvement.

Responsabilities

- Design, develop, and maintain data visualization dashboards and reports.
- Collaborate with stakeholders and team members to gather requirements and define business needs.
- Translate complex data sets into clear and actionable visual formats.
- Optimize visualizations for performance and scalability.
- Ensure the accuracy and consistency of data visualizations through testing and validation.
- Implement best practices for usability, including color theory, layout design, and interactive elements.
- Monitor and improve the performance of data visualization systems.
- Integrate and manipulate large datasets from various sources for visualization purposes.
- Stay current with trends and technologies in data visualization and incorporate them into workflows.
- Provide training and support to team members and end-users on data visualization tools and techniques.
- Troubleshoot and resolve issues related to data integration, performance, and functionality.
- Participate in regular meetings to discuss progress, gather feedback, and align on project timelines.
- Document visualization processes, workflows, and methodologies.
- Maintain data visualization code repositories and version control systems.
- Collaborate with UX/UI designers to enhance the user experience of data visualizations.
- Conduct exploratory data analysis to identify trends and insights.
- Create and maintain metadata and documentation for data sources.
- Enforce data governance and security protocols.
- Assist in developing and implementing project plans and timelines.
- Analyze user feedback and usage metrics to improve visualization tools and interfaces.

Ideal Candidate

The ideal candidate for the Data Visualization Engineer role is a highly analytical and innovative professional with a Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field, complemented by proven experience in designing and maintaining data visualization dashboards using tools such as Tableau, Power BI, and D3.js. They exhibit a strong understanding of data analysis and data storytelling, with advanced proficiency in SQL and programming languages like Python, R, and JavaScript. Their ability to integrate and manipulate large datasets, paired with a deep familiarity with ETL processes, ensures robust data preparation and optimization for performance and scalability. The candidate has a keen UX/UI design sensibility, applying best practices in color theory, layout, and interactive elements to create visually appealing and intuitive visualizations. With excellent problem-solving skills and meticulous attention to detail, they ensure the accuracy and consistency of data visualizations through thorough testing and validation. They excel in a collaborative environment, effectively communicating complex data concepts to both technical and non-technical stakeholders, and are adept at gathering and interpreting user requirements to drive project success. This highly organized and self-motivated individual thrives in a fast-paced setting, managing multiple projects with strong time management skills. They stay abreast of industry trends and continuously seek improvement, demonstrating commitment to data security and governance, and maintaining high standards of data integrity. Their passion for data visualization is matched by their enthusiasm for training and mentoring others, fostering a culture of continuous learning and development within the team.

On a typical day, you will...

- Design, develop, and maintain data visualization dashboards and reports using tools like Tableau, Power BI, or D3.js.
- Collaborate with data analysts, data scientists, and stakeholders to gather requirements and understand business needs.
- Translate complex data sets into easy-to-understand visual formats that highlight key insights and trends.
- Optimize visualizations for performance and scalability.
- Ensure accuracy and consistency of data visualizations by conducting thorough testing and validation.
- Implement best practices for data visualization usability, including color theory, layout, and interactive elements.
- Monitor data visualization systems for performance issues and implement improvements as necessary.
- Integrate and manipulate large datasets from various sources to prepare them for use in visualizations.
- Stay updated with the latest trends and technologies in data visualization and integrate them into existing workflows.
- Provide training and support to team members and end-users on how to interpret and utilize the data visualizations effectively.
- Troubleshoot and resolve issues related to data integration, performance, and visualization functionality.
- Participate in regular meetings with cross-functional teams to share progress, gather feedback, and align on project timelines.
- Document visualization processes, workflows, and methodologies for future reference and reproducibility.
- Maintain data visualization code repositories and version control systems.
- Collaborate with UX/UI designers to enhance the intuitive and interactive aspects of data visualizations.
- Conduct exploratory data analysis to identify trends, patterns, and insights for potential visualization opportunities.
- Create and maintain metadata and documentation for data sources used in visualizations.
- Enforce data governance and security protocols to safeguard sensitive information.
- Assist in the development and implementation of data visualization project plans and timelines.
- Analyze user feedback and usage metrics to continuously improve data visualization tools and interfaces.

What we are looking for

- Strong analytical and critical thinking skills
- Creative and innovative mindset
- Detail-oriented and meticulous
- Passionate about data visualization and storytelling
- Excellent communicator with both technical and non-technical audiences
- Proactive problem solver
- Highly collaborative team player
- Self-motivated and able to work independently
- Ability to thrive in a fast-paced environment
- Strong organizational and time management skills
- Adaptive and open to learning new technologies
- Committed to continuous improvement and self-development
- Strong sense of accountability and reliability
- Ability to handle multiple projects and prioritize tasks effectively
- Effective at gathering and interpreting user requirements
- Skilled in presenting complex data in an accessible and visually appealing manner
- Technically proficient and detail-oriented in execution
- Strong commitment to data accuracy and integrity
- UX/UI design sensibility with a user-first approach
- Adept at troubleshooting and resolving technical issues
- Investor in building and maintaining strong stakeholder relationships
- Enthusiastic about staying current with industry trends and best practices
- Persistent in seeking feedback and incorporating it to improve outcomes
- Dedicated to maintaining high standards of data security and governance
- Enthusiastic about training and mentoring others
- Responsive to feedback and adaptable in approach

What you can expect (benefits)

- Competitive salary range based on experience and qualifications
- Comprehensive health benefits including medical, dental, and vision insurance
- Generous paid time off (PTO) policy and company holidays
- Flexible work hours and remote work options to support work-life balance
- Retirement savings plans with company match
- Professional development opportunities and continuous learning support
- Tuition reimbursement for relevant courses and certifications
- Access to industry conferences and events
- Employee wellness programs including gym memberships and mental health resources
- Stock options or equity in the company
- Collaborative and inclusive work environment
- Career advancement opportunities within the company
- Opportunities to work with cutting-edge technology and tools
- Employee recognition programs and awards
- Company-provided computing equipment and software licenses
- Social events and team-building activities
- Paid parental leave and family support programs
- Relocation assistance for eligible candidates
- Discounts on company products and services
- Annual performance bonus based on individual and company performance

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