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Data Visualization Developer Jobs in Texas (NOW HIRING)

Data Visualization and Reporting: Using tools (e.g., Tableau, Power BI) to create reports and ... Programming Proficiency in Python| R| and SQL.MathematicsStatistics Strong understanding of ...

... visualization techniques to extract actionable insights from complex data sets. You will work cross-functionally with product, engineering, and business teams to drive data-driven decision making.

Data Engineer

Frisco, TX ยท On-site

$107K - $128K/yr

Knowledge of data visualization tools like Power BI or Tableau * Certifications such as ... Databricks Spark Developer Control-M Certification

Data Scientist

Dallas, TX ยท On-site

$65 - $75/hr

... programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark). - Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit). Preferred Experience ...

... visualization techniques to extract actionable insights from complex data sets. You will work cross-functionally with product, engineering, and business teams to drive data-driven decision making.

... visualization techniques to extract actionable insights from complex data sets. You will work cross-functionally with product, engineering, and business teams to drive data-driven decision making.

Data Modeler

Plano, TX ยท On-site

$52.25 - $68/hr

Have experience as a technical data developer and analyst with data architecture exposure. * Strong ... Experience in data visualization tools * Creates documentation for all activities and may work with ...

Job Title: Sr. Full stack Developer Job Location: Austin, Texas Job Type: Contract ... Architect and develop custom data visualization tools and applications * Design develop and lead ...

Role Name Technical Lead(Earnix developer) Location: San Antonio/ Plano, TX Mode of hire: 6 months ... Data visualization * Proficiency in: * SQL * Python or R * Excel * Tableau / Power BI Key ...

Data Graphics Developer The Houston Chronicle is looking for an ambitious senior-level graphics developer with strong visualization skills to join our growing data team. This role will work alongside ...

... visualization techniques to extract actionable insights from complex data sets. You will work cross-functionally with product, engineering, and business teams to drive data-driven decision making.

Data Graphics Developer The Houston Chronicle is looking for an ambitious senior-level graphics developer with strong visualization skills to join our growing data team. This role will work alongside ...

Showing results 41-60

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 Aug 16, 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 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.

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 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.

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 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 job categories do people searching Data Visualization Developer jobs in Texas look for?

The top searched job categories for Data Visualization Developer jobs in Texas are:

What cities in Texas are hiring for Data Visualization Developer jobs?

Cities in Texas with the most Data Visualization Developer job openings:

What are popular job titles related to Data Visualization Developer jobs in TX?

For Data Visualization Developer jobs in TX, the most frequently searched job titles are:

Infographic showing various Data Visualization Developer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $101,970 per year, or $49 per hour.

Full-time

Re-posted 5 days ago


Job description

Location: San Antonio, TX / Plano, TX - onsite
Duration: 6 months
GBaMS ReqID: 10583538
Data Scientists
Programming: Proficiency in Python, R, and SQL.
Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra.
Machine Learning: Knowledge of algorithms and libraries like Scikit-learn, TensorFlow, or PyTorch.
Core Roles and Responsibilities
Data Collection and Preparation: Gathering unstructured and structured data from multiple sources, then cleaning and preprocessing it to ensure data quality and usability.
Exploratory Data Analysis (EDA): Analyzing data to uncover hidden patterns, correlations, and trends.
Modeling and Machine Learning: Developing algorithms, designing predictive models, and training them on historical data for tasks like classification, regression, and optimization.
Data Visualization and Reporting: Using tools (e.g., Tableau, Power BI) to create reports and charts that communicate technical findings to non-technical stakeholders.
Collaboration and Strategy: Working with business leaders to identify goals, define problems, and suggest data-driven improvements.
Model Maintenance: Testing, validating, and updating models to ensure accuracy and relevance over time.
+8
Communication: Ability to translate complex data insights into clear business strategies
Role Descriptions: Core Roles and ResponsibilitiesData Collection and Preparation Gathering unstructured and structured data from multiple sources| then cleaning and preprocessing it to ensure data quality and usability.Exploratory Data Analysis (EDA) Analyzing data to uncover hidden patterns| correlations| and trends.Modeling and Machine Learning Developing algorithms| designing predictive models| and training them on historical data for tasks like classification| regression| and optimization.Data Visualization and Reporting Using tools (e.g.| Tableau| Power BI) to create reports and charts that communicate technical findings to non-technical stakeholders.Collaboration and Strategy Working with business leaders to identify goals| define problems| and suggest data-driven improvements.Model Maintenance Testing| validating| and updating models to ensure accuracy and relevance over time. 8
Essential Skills: Programming Proficiency in Python| R| and SQL.MathematicsStatistics Strong understanding of statistical techniques| probability| and linear algebra.Machine Learning Knowledge of algorithms and libraries like Scikit-learn| TensorFlow| or PyTorch.
Desirable Skills:
Keyword:
Skills: Digital : Data Science~Digital : Python for Data Science
Experience Required: 8-10