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Data Visualization Engineer Jobs in Cary, NC (NOW HIRING)

Contemporaries

Be Seen First

Data Engineer

Durham, NC · On-site

$57 - $63/hr

... Data Engineer to support environmental health and extreme weather research initiatives. This ... Ensure visualization applications are user-friendly, performant, and integrated with existing data ...

Three Point Solutions

Product Engineer

Fuquay Varina, NC · On-site

$40 - $43/hr

Job Title: Product Engineer Client: Heavy Machine Manufacturing Company Duration: 12 Months ... Experience with data visualization tools (Power BI, Tableau) * Ability to work across multiple ...

Pwc

Data Strategy-Manager

Raleigh, NC

$99K - $232K/yr

... engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80 ...

SynergisticIT

Software Engineer (Remote)

Durham, NC

... data visualization tools, excellent written and verbal communication skills. Preferred skills: NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow. For Java/full stack/software positions ...

Deloitte

Sr. Data Scientist

Raleigh, NC · Hybrid

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible ... Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data ...

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All JobsData Visualization Engineer JobsData Visualization Engineer Jobs in Cary, NC

Data Visualization Engineer information

See Cary, NC salary details

$43.7K

$127.5K

$174.4K

How much do data visualization engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data visualization engineer in Cary, NC is $127,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $135,100.00 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 popular job titles related to Data Visualization Engineer jobs in Cary, NC? For Data Visualization Engineer jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Data Visualization Engineer jobs in Cary, NC look for? The top searched job categories for Data Visualization Engineer jobs in Cary, NC are:
Data Visualization Engineer jobs near you
Data Engineer

Data Engineer

Contemporaries

Durham, NC • On-site

$57 - $63/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

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Job description

Contemporaries Inc. is supporting the National Institute of Environmental Health Sciences (NIEHS) in the recruitment of a Data Engineer to support environmental health and extreme weather research initiatives. This long-term contract opportunity offers remote work flexibility and will focus on developing and optimizing data infrastructure that supports scientific modeling, geospatial analytics, and computational research workflows.


Position Responsibilities:

  • Design and implement optimized database structures to support scientific modeling workflows.
  • Develop and maintain data schemas that ensure efficient querying and storage for large-scale scientific datasets.
  • Develop and enhance PTB, CHORDS, and HEW geospatial database management capabilities.
  • Work with geospatial datasets and data formats such as NetCDF, GeoTIFF, HDF5, and other environmental data standards.
  • Build, document, and maintain end-to-end model pipelines using reproducibility and version control standards.
  • Develop workflows utilizing R-based Targets and Python-based Snakemake frameworks.
  • Implement automated testing frameworks and validation protocols to ensure pipeline reliability and consistency.
  • Develop and test protocols for GPU-accelerated execution of R- and Python-based models.
  • Create documentation and best practices related to GPU resource allocation and performance monitoring.
  • Design, develop, and deploy Shiny applications for real-time data exploration and model output visualization.
  • Ensure visualization applications are user-friendly, performant, and integrated with existing data infrastructure.
  • Optimize R-based models through parallelization, vectorization, and algorithmic improvements.
  • Configure and optimize workflows within high-performance computing environments, including job scheduling and resource management.
  • Port performance-critical components to compiled languages such as C++ or Rust when appropriate.
  • Collaborate with scientific teams to provide technical guidance and support environmental health research initiatives.


Required Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Data Science, Bioinformatics, Statistics, Environmental Science, or a related field.
  • Minimum of three (3) years of professional experience in data engineering, software engineering, computational research support, or a related field.
  • Strong experience using the R programming language.
  • Experience designing and maintaining database structures supporting large-scale datasets.
  • Experience developing reproducible data pipelines and workflows.
  • Experience with shell scripting, including Bash.
  • Experience working in Linux-based computing environments.
  • Experience with batch job scripting and scheduling tools such as SLURM.
  • Experience developing interactive applications using Shiny.
  • Strong analytical, problem-solving, and technical communication skills.


Preferred Qualifications

  • Experience working with geospatial or environmental datasets.
  • Familiarity with geospatial data formats such as NetCDF, GeoTIFF, and HDF5.
  • Experience using Python for workflow development or automation.
  • Experience utilizing Snakemake, Targets, or similar pipeline orchestration frameworks.
  • Experience supporting high-performance computing environments and GPU-enabled workflows.
  • Experience optimizing code through parallelization, vectorization, or compiled languages such as C++ or Rust.
  • Experience supporting environmental health, climate, or extreme weather research initiatives.
  • Experience supporting NIH, HHS, or other federally funded scientific research programs.
  • Experience contributing to technical documentation, scientific publications, or collaborative research efforts.

Company Description

Contemporaries is a government contracting firm who has been providing HR and Staff support to both federal and private organizations for over 35 years. Specializing in Administrative and related opportunities, while also working with Scientific, IT, Legal, Research, and related opportunities.