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Visualization Engineer Jobs in Phoenix, AZ (NOW HIRING)

RIT Solutions

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer As a Data Engineer at our client, you will play a crucial role in designing, building ... Familiarity with front-end technologies, particularly React.js, for data visualization and UI ...

RIT Solutions

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer As a Data Engineer at our client, you will play a crucial role in designing, building ... Familiarity with front-end technologies, particularly React.js, for data visualization and UI ...

Intel

Operations Research Engineer

Phoenix, AZ · On-site

$149K - $211K/yr

The Role and Impact As a Software Research Engineer/Scientist, you will leverage your software ... analysis and visualization skills to derive insights and effectively communicate results ...

Under Armour

Sr. Data Analytics Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are ... visualization and reporting requirements. * Leverage industry-leading integration and analytics ...

Under Armour

Sr. Data Analytics Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are ... visualization and reporting requirements. * Leverage industry-leading integration and analytics ...

IVID TEK INC

GCP Data Engineer

Phoenix, AZ · On-site

$55/hr

GCP Data Engineer Experience : 6 to 9 Years Location : Phoenix, AZ, USA (Onsite) We are seeking an ... Visualization & BI: Experience supporting data integration, data modeling, and performance tuning ...

Stellar IT Group

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform ... Familiarity with data visualization tools such as Power BI or Tableau. * Understanding of event ...

Keylent Inc

Python Backend Engineer

Phoenix, AZ · On-site

Python Backend Engineer We are seeking a highly skilled Python Backend Engineer with 6 to 10 years ... Lead the development of data visualization tools to present complex data in an understandable ...

Keylent Inc

Python Backend Engineer

Phoenix, AZ · On-site

Python Backend Engineer We are seeking a highly skilled Python Backend Engineer with 6 to 10 years ... Lead the development of data visualization tools to present complex data in an understandable ...

Konik

Piping BIM Engineer

Phoenix, AZ · On-site

Piping BIM Engineer Phoenix, AZ | Direct-Hire | $90,000-$130,000 Konik is partnering with a leading ... Experience in progress tracking and visualization using Excel, Power BI, or similar tools. * Basic ...

APEL Extrusions Inc.

Controls Engineer

Phoenix, AZ · On-site

$82K - $106K/yr

Support manufacturing data acquisition and visualization initiatives. * Troubleshoot data ... Engineering amp; Continuous Improvement * Lead controls modernization, automation upgrades, and ...

TSMC

BIM Engineer

Phoenix, AZ · On-site

Advanced skills in parametric modeling, clash detection, and project visualization using tools like ... engineers, and contributing to the development of innovative manufacturing spaces. As a valued ...

TSMC

BIM Engineer

Phoenix, AZ · On-site

Advanced skills in parametric modeling, clash detection, and project visualization using tools like ... engineers, and contributing to the development of innovative manufacturing spaces. As a valued ...

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Showing results 21-40

All JobsVisualization Engineer JobsVisualization Engineer Jobs in Phoenix, AZ

Visualization Engineer information

See Phoenix, AZ salary details

$80.4K

$105.6K

$179.7K

How much do visualization engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for visualization engineer in Phoenix, AZ is $105,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $99,300.00 per year, depending on experience, location, and employer.

What is a visualization engineer?

A Visualization Engineer is a professional who designs, develops, and implements data visualization solutions to help organizations interpret complex data. They use tools and programming languages like D3.js, Tableau, or Python to create interactive charts, graphs, and dashboards. Their main goal is to turn raw data into visually engaging and insightful representations, enabling better decision-making. Visualization Engineers often collaborate with data scientists, analysts, and stakeholders to understand requirements and ensure the visualizations effectively communicate key information.

How does a visualization engineer typically collaborate with data scientists and other stakeholders on projects?

Visualization Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists to understand the underlying data sets, define the goals of the visualization, and ensure the technical feasibility of proposed solutions. Regular meetings and iterative feedback sessions with business stakeholders are common to ensure the visualizations meet business requirements and usability standards. This collaboration often involves translating complex analytical findings into intuitive visuals that help guide decision-making across teams.

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

To thrive as a Visualization Engineer, you need expertise in data visualization principles, programming languages like JavaScript or Python, and a background in computer science or a related field. Familiarity with visualization libraries (such as D3.js, Tableau, or Power BI), data analytics platforms, and experience with databases are typically required. Strong problem-solving skills, creativity, and the ability to communicate complex data visually make someone stand out in this position. These skills are crucial for transforming raw data into actionable insights that drive informed decision-making across organizations.

What is the difference between Visualization Engineer vs Data Analyst?

AspectVisualization EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with visualization toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentDesigning visual data representations, working with developers and designersAnalyzing data sets, generating reports, interpreting data trends
Industry UsageTech, finance, marketing, where visual data storytelling is keyBusiness, finance, healthcare, focusing on data insights

While both roles involve working with data, Visualization Engineers focus on creating visual representations and dashboards, often collaborating with developers. Data Analysts primarily analyze data sets to extract insights and generate reports. The roles overlap in skills like data handling and visualization tools, but their core responsibilities differ in focus and output.

What are popular job titles related to Visualization Engineer jobs in Phoenix, AZ?

For Visualization Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Visualization Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Visualization Engineer jobs in Phoenix, AZ are:

Visualization Engineer jobs near you
Infographic showing various Visualization Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $105,623 per year, or $50.8 per hour.

Data Engineer

RIT Solutions

Phoenix, AZ • On-site

$113K - $136K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Data Engineer

As a Data Engineer at our client, you will play a crucial role in designing, building, and maintaining the data architecture that powers our analytical and operational capabilities. You will work closely with developers, QA's, Scrum Master and other stakeholders to ensure data availability, reliability, and integrity. Your expertise will be key in transforming raw data into actionable insights that drive our business forward.

Key Responsibilities

  • Design and Develop Data Pipelines: Create and maintain scalable ETL (Extract, Transform, Load) processes to gather, process, and store data from various sources. Optimize data pipelines for performance and reliability.
  • Database Management: Design, implement, and manage robust, scalable, and efficient databases. Ensure data security, availability, and performance.
  • Data Integration: Integrate data from multiple sources, ensuring consistency and accuracy. Work with APIs and other data integration tools.
  • Data Quality and Governance: Implement data quality checks and ensure data governance practices are followed. Monitor data quality and integrity, addressing any issues promptly.
  • Collaboration: Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs. Work closely with DevOps and IT teams to ensure seamless deployment and operation of data solutions.
  • Documentation and Best Practices: Document data processes, workflows, and architectures. Promote best practices in data engineering and contribute to the continuous improvement of the data infrastructure.

Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL). Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Proficiency in programming languages such as Kotlin and Java. Familiarity with front-end technologies, particularly React.js, for data visualization and UI integration. Experience with Google Cloud Platform and its data-related services (e.g., BigQuery, Dataflow, Pub/Sub). Strong understanding of data warehousing concepts and experience with data warehouse solutions (e.g., BigQuery). Knowledge of data modeling, data architecture, and ETL processes. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

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