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Data Visualization Engineer Jobs in Arizona (NOW HIRING)

RIT Solutions

Data Engineer

Phoenix, AZ

$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, Inc.

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data Engineer 3 days Phoenix, As a Data Engineer at our client, you will play a crucial role in ... Familiarity with front-end technologies, particularly React.js, for data visualization and UI ...

Veterans Benefits Administration

Data Scientist

Phoenix, AZ · On-site +1

$106K - $158K/yr

Utilize visualization tools, such as Oracle Business Intelligence Enterprise Edition (OBIEE), and ... Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct ...

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 ...

Sarian, Inc.

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... to data visualization tools such as Looker, PowerBI, Tableau etc Roles & Responsibilities • Design, develop, and maintain data architectures and infrastructure • Collaborating with cross ...

SARIAN Co

Data Engineer

Phoenix, AZ

$113K - $136K/yr

... to data visualization tools such as Looker, PowerBI, Tableau etc Roles & Responsibilities • Design, develop, and maintain data architectures and infrastructure • Collaborating with cross ...

SEI

Data and Analytics Consultant

Phoenix, AZ

Data Visualization The ideal candidate's experience may include but is not limited to the following ... Must have experience in architecting and implementing data architecture, data engineering ...

IntraEdge

Big Data Engineer II

Phoenix, AZ · On-site

$55.75 - $73.75/hr

Experience with Data Visualization tools like Tableau, SiSense, Looker * Expert on Distributed ecosystem * Hands-on experience with programming using Python/Scala * Expert on Hadoop and Spark ...

Nationwide

Sr Analyst, Data Solution Analyst

Scottsdale, AZ · On-site +1

$86K - $109K/yr

... visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions. If you have the drive and desire to be part of a future forward data ...

Deloitte

AI and Data Science Engineer III

Tempe, AZ · On-site

$109K - $131K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... visualization platforms). * Translate ambiguous business problems into structured analytical ...

Judge Group, Inc.

BI Data Analyst

Scottsdale, AZ · Remote

$35 - $45/hr

Visualization & Reporting: Designs, develops, tests, and implements reports and dashboards using ... Ensure dashboards adhere to formatting and security standards Data Engineering & SQL: Designs ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Visualization Power BI Tableau Matplotlib Seaborn * Big Data Technologies Spark Hadoop basic ... Data Engineering ETL processes data wrangling and feature engineering * Insurance Reinsurance ...

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All JobsData Visualization Engineer JobsData Visualization Engineer Jobs in Arizona

Data Visualization Engineer information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do data visualization engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data visualization engineer in Arizona is $120,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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 Arizona? For Data Visualization Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Visualization Engineer jobs in Arizona look for? The top searched job categories for Data Visualization Engineer jobs in Arizona are:
Data Visualization Engineer jobs near you
Data Engineer

Data Engineer

RIT Solutions

Phoenix, AZ

$113K - $136K/yr

Other

Posted 28 days ago

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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