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Data Visualization Developer Jobs in Texas (NOW HIRING)

Nastech Global

Visualization Engineer

Austin, TX · On-site

Data Analysis & Visualization Engineer Location: Austin, TX & Cupertino, CA (onsite) Job type: Full time -Focus on tableau, A/B testing, sentiment analysis, working exp with UX/UI research team /user ...

Prophecy Technologies

Databricks Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role Overview: This role is for a skilled Data Engineer with extensive hands-on experience in ... Create and implement data visualization solutions using tools such as Tableau or Power BI to ...

Saxon Global

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

They maintain data catalogues and metadata to facilitate self-service access by business users, other data engineers, data visualization specialists and data scientists. When data related system ...

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All JobsData Visualization Developer JobsData Visualization Developer Jobs in Texas

Data Visualization Developer information

See Texas salary details

$50.3K

$102K

$150.5K

How much do data visualization developer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data visualization developer in Texas is $101,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $114,600.00 per year, depending on experience, location, and employer.

What is a data visualization developer?

A Data Visualization Developer is a professional who designs, builds, and implements interactive visual representations of complex data sets. They use tools like JavaScript libraries (such as D3.js), Tableau, Power BI, or Python frameworks to turn raw data into charts, graphs, dashboards, and other visuals that help users understand patterns and insights. These developers often collaborate with data analysts, data scientists, and business stakeholders to ensure that visualizations are both accurate and user-friendly. Their work plays a vital role in helping organizations make data-driven decisions by making information accessible and easy to interpret.

What is a data visualization developer?

Data visualization pertains to any visual representation used to explain the significance of data. A data visualization developer is someone who creates these graphic representations. Their primary responsibilities are to produce visual depictions of text-based data that reveals the patterns, trends, or correlations between different points. Duties include using software to create dashboards to showcase information, performing data analysis and data modeling, and reporting on various data points. A data visualization developer may need to create a wide variety of graphics to display information, such as infographics, charts, graphs, data maps, or interactive data interfaces.

What are the key skills and qualifications needed to thrive as a data visualization developer, and why are they important?

To thrive as a Data Visualization Developer, you need strong analytical skills, proficiency in data analysis, and expertise in visual design, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Tableau, Power BI, D3.js, and programming languages like JavaScript or Python is essential, and certifications in these platforms can be advantageous. Attention to detail, creativity, and effective communication are crucial soft skills for transforming complex data into clear, actionable visual insights. These skills ensure that stakeholders can easily interpret and leverage data for informed decision-making.

How does a data visualization developer typically collaborate with data analysts and business stakeholders on projects?

Data Visualization Developers often work closely with data analysts to understand the underlying data and identify key insights that need to be communicated. They also engage with business stakeholders to clarify requirements and ensure the visualizations support decision-making processes. Regular meetings and iterative feedback cycles are common, helping to fine-tune dashboards and reports for clarity and usability. This collaborative environment encourages learning from different perspectives and fosters a team-oriented approach to solving business challenges.

What is the difference between Data Visualization Developer vs Data Analyst?

AspectData Visualization DeveloperData Analyst
Required SkillsData visualization tools, programming (JavaScript, Python), UI/UX designData analysis, statistical skills, Excel, SQL
Work EnvironmentDesigning dashboards, front-end visualization, interactive reportsData cleaning, querying databases, interpreting data trends
Common UsageCreating visual representations for insights and dashboardsAnalyzing data to inform business decisions

While both roles involve working with data, Data Visualization Developers focus on creating visual tools and dashboards to present data effectively, often requiring programming skills. Data Analysts interpret data and generate insights, emphasizing statistical analysis and data querying. Both roles are essential in data-driven organizations but serve different functions in the data workflow.

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Data Visualization Developer jobs near you
Infographic showing various Data Visualization Developer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,970 per year, or $49 per hour.

Reports & Visualization Developer-Looker

InfoVision, Inc.

Dallas, TX • On-site

Other

Re-posted 17 days ago

Job description

Reports & Visualization Developer - 10+ yrs TX, NJ, GA, MA Hybrid
Build reports and dashboards
Retrofit/modernize/migrate reports and dashboards from Tableau to Looker.
Create universal semantic layer
Use modern AI capabilities native to reporting tools
Use AI code development solutions like Claude Code to build dashboards
Skills: Tableau, Looker(must have) experience, Claude Code (data pipelines, viz d/b, charts), python etc. typical modern BI skills

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