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Data Visualization Engineer Jobs in Dallas, TX (NOW HIRING)

Job Title/Role Name Technical Lead(Earnix developer) Experience level 10+ years Location: San ... Data visualization * Proficiency in: * SQL * Python or R * Excel * Tableau / Power BI Key ...

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Data & AI Engineer III (Hybrid)

Mckinney, TX · On-site

$106K - $127K/yr

Could you be our next Data & AI Engineer III ? Globe Life is looking for a Data & AI Engineer III ... data visualization tools are all a plus. Applicable To All Employees of Globe Life Family of ...

Data & AI Engineer III (Hybrid)

Mckinney, TX · On-site

$106K - $127K/yr

Data & AI Engineer III (Hybrid) Primary Duties & Responsibilities At Globe Life, we are committed ... data visualization tools are all a plus. Applicable To All Employees of Globe Life Family of ...

Data & AI Engineer III (Hybrid)

Mckinney, TX · Hybrid

$106K - $127K/yr

Could you be our next Data & AI Engineer III ? Globe Life is looking for a Data & AI Engineer III ... data visualization tools are all a plus. Applicable To All Employees of Globe Life Family of ...

Data Engineer - 6370645

Dallas, TX · On-site

$44 - $54/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data ... Advanced proficiency in Java Software Development, API Integration, and Data Visualization is ...

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You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data Visualization, ensuring teams deliver trusted, scalable data products that enable smarter, faster ...

Data visualization * Proficiency in: * SQL * Python or R * Excel * Tableau / Power BI Key ... Collaborate with business, underwriting, product, and engineering teams to implement pricing ...

Data Architect

Dallas, TX · On-site

$63.25 - $81.50/hr

... visualization tools and techniques for presenting data Create and maintain dashboards and reports for stakeholders. Mandatory Skills: - 15+ years in Data Engineering / Data Architecture Good ...

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Data Visualization Engineer information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do data visualization engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data visualization engineer in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Data Visualization Engineer job?

A Data Visualization Engineer is responsible for designing, developing, and implementing visual representations of data to help stakeholders understand complex information. They use tools like Tableau, D3.js, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create interactive dashboards and reports. Their role involves working with large datasets, ensuring data accuracy, optimizing performance, and collaborating with analysts and developers to enhance decision-making. Strong programming, data analysis, and UX/UI design skills are essential for success in this role.

What are some common challenges faced by Data Visualization Engineers, and how can they overcome them?

Data Visualization Engineers often encounter challenges such as translating complex data into clear, actionable visuals for non-technical stakeholders and ensuring that graphics remain both accurate and engaging. Balancing the needs of different departments, adhering to fluctuating project requirements, and managing large or messy datasets can also be demanding. Successful engineers address these issues by working closely with data analysts, business users, and designers, using feedback to iterate on their work, and staying current with the latest visualization best practices. Proactive communication and strong organization skills further help in meeting deadlines and maintaining quality standards.

What are the key skills and qualifications needed to thrive in the Data Visualization Engineer position, and why are they important?

To thrive as a Data Visualization Engineer, you need a strong grasp of data analysis, visual storytelling, and programming, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in languages such as Python or JavaScript are commonly required, along with experience in databases and dashboard development. Strong communication, problem-solving, and collaboration skills help you effectively transform and present complex data to diverse audiences. These abilities are crucial for creating impactful, user-friendly visualizations that drive informed business decisions.

What are the most commonly searched types of Data Visualization Engineer jobs in Dallas, TX? The most popular types of Data Visualization Engineer jobs in Dallas, TX are:
What are popular job titles related to Data Visualization Engineer jobs in Dallas, TX? For Data Visualization Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Visualization Engineer jobs in Dallas, TX look for? The top searched job categories for Data Visualization Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Visualization Engineer jobs? Cities near Dallas, TX with the most Data Visualization Engineer job openings:
Infographic showing various Data Visualization Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.
Clinical Data Scientist

Clinical Data Scientist

RedSail Technologies, LLC

Irving, TX • On-site, Remote

$130K - $160K/yr

Full-time

Re-posted 6 days ago


Job description

Clinical Data Scientist

Job Summary

The RedSail Technologies Network Services Business Unit has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail’s data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.

Key Duties

  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)

Education/Training

  • Bachelor’s degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.

Required Work Skills/Experience

  • Pharma/Pharmacy/Healthcare experience.
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.

Preferred Work Skills/Experience

  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.

Discretionary Judgement

  • Uses independent judgment and discretion based upon the employee’s experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.

Physical Demands/Working Conditions/General Employment

  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.

Equipment

  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.

Safety to Self and Others

  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.

Working Conditions/Hazards

  • Position is performed in an open office environment or approved remote work location.

Salary Range

  • $130,000-$160,000

Work Location

  • RedSail Office Hybrid

Benefits Include: PTO, 401k (5%) Match, Bonus Opportunities, Medical/Dental/Vision Insurance, Work-life balance, Health Clinic, Fitness Bonus and Professional Development.