ZipRecruiter

Log In

1

Data Visualization Expert Jobs in California (NOW HIRING)

Apple, Inc.

PART Data Applications Engineer

Culver City, CA · On-site

$124K - $149K/yr

... end-to-end Expert proficiency in Python and hands-on experience building and deploying web ... with data visualization libraries (Plotly, Matplotlib, Seaborn) and an eye for usable, well ...

Apple

PART Data Applications Engineer

Culver City, CA · On-site

$125K - $150K/yr

... end-to-end Expert proficiency in Python and hands-on experience building and deploying web ... with data visualization libraries (Plotly, Matplotlib, Seaborn) and an eye for usable, well ...

Zefr, Inc

Senior Data Engineer

Marina Del Rey, CA · On-site

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work on our roadmap for AI-assisted data visualization and analysis tools What we're looking for ... Expert in building workflows using dbt and SQL. * Strong experience with Python * Knowledge of ...

Intuit

Staff Data Scientist

Mountain View, CA

... expert capabilities across ICS and various business segments. You will Design, build, and ship ... visualization platforms (e.g., Tableau, Qlik) to communicate insights; experience with data ...

Intuit

Staff Data Scientist

Mountain View, CA

... expert capabilities across ICS and various business segments. You will Design, build, and ship ... visualization platforms (e.g., Tableau, Qlik) to communicate insights; experience with data ...

Intuit

Staff Data Scientist

Mountain View, CA · On-site

... expert capabilities across ICS and various business segments . You will Design, build, and ship ... visualization platforms (e.g., Tableau, Qlik) to communicate insights; experience with data ...

Pwc

Data Strategy-Manager

San Diego, CA

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Expert - SAP Certified Application Associate - SAP Master Data Governance (MDG) - SnowPro Core ... visualization tools - Experience in designing advanced analytics solutions - Coaching and ...

previous page

Showing results 41-60

All JobsData Visualization Expert JobsData Visualization Expert Jobs in California

Data Visualization Expert information

See California salary details

$53.3K

$108K

$159.4K

How much do data visualization expert jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data visualization expert in California is $108,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $121,400.00 per year, depending on experience, location, and employer.

What is a data visualization expert?

Data Visualization Experts are professionals who specialize in transforming complex data sets into clear, visually engaging graphics and interactive dashboards. Their main goal is to help organizations and stakeholders understand trends, patterns, and insights from data through visuals such as charts, graphs, and maps. They use tools like Tableau, Power BI, or D3.js, and collaborate closely with data analysts and decision-makers. Their work makes data more accessible and actionable for everyone in an organization.

What are the key skills and qualifications needed to thrive as a data visualization expert?

To thrive as a Data Visualization Expert, you need strong analytical skills, proficiency in data modeling, and an educational background in statistics, computer science, or a related field. Expertise with visualization tools like Tableau, Power BI, and programming languages such as Python or R is typically required, along with familiarity with data querying systems like SQL. Exceptional attention to detail, creativity, and effective communication are important soft skills for translating complex data into compelling, actionable insights. These skills ensure that data visualizations are accurate, informative, and accessible, driving better decision-making across organizations.

What are some common challenges data visualization experts face when translating complex data for non-technical stakeholders?

Data Visualization Experts often encounter the challenge of simplifying complex datasets without losing essential details or accuracy. Balancing clarity and depth is key, as stakeholders may have varying levels of data literacy. Additionally, selecting the right visualization type and ensuring accessibility across devices can be difficult. Effective communication and collaboration with both technical and non-technical team members are critical to delivering insights that inform decision-making.

What is the difference between Data Visualization Expert vs Data Analyst?

AspectData Visualization ExpertData Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; certifications in visualization tools (e.g., Tableau, Power BI)Bachelor's or higher in Statistics, Mathematics, or related fields; often certifications in data analysis tools
Work EnvironmentFocus on creating visual representations, dashboards, and interactive reportsAnalyze datasets, generate insights, and prepare reports, often using visualization tools
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for data storytellingCommon in finance, healthcare, marketing, and business intelligence roles

The main difference is that a Data Visualization Expert specializes in designing and developing visual data representations, while a Data Analyst focuses on analyzing data to generate insights, often utilizing visualization tools as part of their workflow.

What are popular job titles related to Data Visualization Expert jobs in California?

For Data Visualization Expert jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Visualization Expert jobs in California look for?

The top searched job categories for Data Visualization Expert jobs in California are:

Data Visualization Expert jobs near you
Infographic showing various Data Visualization Expert job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $108,017 per year, or $51.9 per hour.

Business Intelligence Data Engineer

Golden State Foods

Irvine, CA • On-site

$54 - $70.25/hr

Full-time

Re-posted 10 days ago

Golden State Foods rating

6.3

Company rating: 6.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

308th of 438 rated food and drinks producers

Job description

Job Summary:
Golden State Foods is a distinguished leader in the food service industry, offering an extensive array of products and services to a diverse clientele. The Data Engineer will be responsible for the full cycle of data warehouse development, including analyzing business requirements and designing ETL processes to present data for reporting consumption.
Responsibilities:
• Work with business requirements to identify and understand source data systems; provide resolutions to all data issues and coordinate with data analyst to validate all requirements, perform interviews with all users and developers.
• Map source system data to data warehouse tables
• Develop and perform tests and validate all data flows and prepare all ETL/ELT processes according to business requirements and incorporate all business requirements into all design specifications.
• Define and capture metadata and rules associated with ETL processes
• Adapt ETL processes to accommodate changes in source systems and new business user requirements
• Collaborate with all developers and business users to gather required data and execute all ETL programs and scripts on systems and implement all data warehouse activities and prepare reports for same.
• Provide support and maintenance on ETL processes and documentation
• Build partnerships across the application, business, and infrastructure teams
• Strive to continuously improve the software delivery processes and practices
• Champion company standards and best practices
• Accountable for properly following all IT standards, processes and methodologies as applicable including but not limited to Quality Assurance (QA)
• Other responsibilities and accountabilities may be assigned based on business and organization needs.
Qualifications:
Required:
• Four year college in a quantitative field such as Computer Science / Computer Information Systems or commensurate work experience.
• Industry experience as a Business Intelligence Data Engineer or related specialty (e.g. Software Engineer, Business Intelligence Engineer, and Data Scientist) with extensive professional experience and a proven track record in a role focused on understanding, manipulating, processing and extracting value from various systems.
• Strong proficiency in SQL
• Expert in ETL tools such Matillion, Informatica, SSIS, ODI etc. as and/or other data manipulation languages such as Python, SAS and R.
• Creative in finding new solutions and designing innovative methods, systems and processes
• Desire to create and build new predictive/optimization tools for structuring datasets
• Extensive experience Data Warehousing development: Star Schema modeling, slowly changing dimensions, row-level security, standard DW architecture/processes, troubleshooting and production support.
Preferred:
• Experience with AWS such as Redshift, EC2, S3, Pythons
• Strong analytic skills for working with structured and/or unstructured datasets
• Strong project management and organizational skills, experience working on complex initiatives with cross-functional teams in a dynamic environment
• Experience with connecting data sets to data visualization tools and creating reports using PowerBI or other visualization tools.
Company:
Golden State Foods provides to the food service and retail industries. Founded in 1947, the company is headquartered in Irvine, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Golden State Foods employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply