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Data Visualization Engineer Jobs in Arizona (NOW HIRING)

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 ...

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 ...

Contexture

Senior Data Engineer

Phoenix, AZ · Remote

$8.5K/mo

... visualization,and analysis. * Assistwith the development, implementation,and maintenance of an ... Oversight of data engineering infrastructure, in collaboration withtheinfrastructure team ...

Contexture

Senior Data Engineer

Phoenix, AZ · On-site

$8.5K - $9.5K/mo

SENIOR DATA ENGINEER Job Code: SRDATENG Reports To: Director, Data Operations & Engineering Base ... reporting, visualization, and analysis. * Assist with the development, implementation, and ...

Contexture

Senior Data Engineer

Phoenix, AZ · On-site +1

$8.5K - $9.5K/mo

The Senior Data Engineer will work as part of the Data Acquisition, Transformation, and Analysis ... reporting, visualization, and analysis. * Assist with the development, implementation, and ...

IntraEdge

Big Data Engineer II

Phoenix, AZ

$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 ...

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 ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

You will collaborate with engineers, product managers, data stewards, and business stakeholders to ... visualization tools (Power BI, Tableau, Looker, etc.), and cloud-based data platforms. • ...

Corning

Manufacturing Data Analyst

Tolleson, AZ · On-site

$64K - $89K/yr

Bachelor's degree in data Analytics, Business, Supply Chain, Industrial Engineering, Information ... Experience with reporting or data visualization tools (e.g., Power BI, Tableau, SAP reporting tools ...

Corning

Manufacturing Data Analyst

Tolleson, AZ

$64K - $89K/yr

Bachelor's degree in data Analytics, Business, Supply Chain, Industrial Engineering, Information ... Experience with reporting or data visualization tools (e.g., Power BI, Tableau, SAP reporting tools ...

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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 Jul 11, 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
Infographic showing various Data Visualization Engineer job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.

Data Engineer

Stellar IT Group

Phoenix, AZ • On-site

$113K - $136K/yr

Full-time

Re-posted 21 days ago

Job description

Overview:
Job Title: Data Engineer
Location: Phoenix, AZ(Hybrid)
Job Type: FTE
Key Responsibilities
Data Platform & Pipeline Development
  • Design, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data Factory, and Microsoft Fabric to support data integration and analytics solutions.
  • Implement incremental and real-time data ingestion strategies using a medallion architecture for data lake storage.
  • Write, optimize, and maintain complex SQL queries to transform, integrate, and analyze data across enterprise systems.
  • Develop solutions with a focus on scalability, maintainability, testability, and long-term operability within a continuous delivery mindset.

Data Operations & Reliability
  • Support and troubleshoot legacy data platforms built on SSIS and SQL Server, ensuring high availability and performance of critical data processes.
  • Identify, troubleshoot, and resolve data integration and data quality issues to ensure reliable production data delivery.
  • Contribute to observability, automated validation, and CI/CD pipelines to support fast feedback and safe releases.

Agile Collaboration & Engineering Practices
  • Collaborate daily with product owners, QA, and engineers through Scrum ceremonies including standups, backlog refinement, sprint planning, sprint reviews, and retrospectives.
  • Participate in proof-of-concept efforts, technical spikes, and design discussions, providing thoughtful technical analysis and pragmatic recommendations.
  • Apply XP engineering practices such as pairing, incremental delivery, continuous refactoring, and shared code ownership to maintain high-quality, evolvable systems.
  • Clearly communicate technical concepts, risks, tradeoffs, and progress to both technical and non-technical stakeholders.

Requirements
Required Qualifications
  • 5+ years of experience designing and building data solutions.
  • Strong proficiency in SQL and Python for data analytics and transformation.
  • Hands-on experience with ETL pipeline development and automation.
  • Solid understanding of data lake architecture and design principles.
  • Experience working on Agile teams (Scrum, XP, or similar), with regular participation in standups, sprint planning, refinement, reviews, and retrospectives.
  • Comfort operating in highly collaborative environments with frequent verbal and written communication across engineering, product, and QA teams.
  • Ability to break work into small, iterative deliverables and adapt quickly based on feedback and changing priorities.
  • Strong ownership mindset, including accountability for the quality, reliability, and maintainability of delivered solutions.

Preferred Qualifications
  • Experience with Azure cloud services and cloud-based ETL tools.
  • Familiarity with data visualization tools such as Power BI or Tableau.
  • Understanding of event-driven architectures, including queues, batch processing, and pub/sub models.
  • Exposure to NoSQL databases such as MongoDB or Cassandra.
  • Experience working on product engineering teams delivering customer-facing or operationally critical systems.
  • Familiarity with modern engineering practices inspired by XP, including automated testing, pairing, refactoring, and continuous integration.
  • Experience operating systems in production environments with uptime, reliability, and observability expectations.

Bonus Points For
  • Experience in Data Science or Machine Learning, particularly in model deployment or feature engineering.
  • Experience contributing to engineering standards, documentation, or continuous improvement initiatives within an Agile team.

Skills:
SQL,Python

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