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Data Visualization Jobs in California (NOW HIRING)

Data Engineer

Sunnyvale, CA · On-site

$75 - $85/hr

Experience with data architecture, reporting, and data visualization tools. * Exposure to AI/ML concepts and enterprise analytics platforms. * Excellent communication, stakeholder management, and ...

The role involves collaborating with Applied Science and marketing teams to automate reporting and enhance data visualization for performance marketing. Responsibilities : • Seeking highly skilled ...

Required : • 5-7 Years of prior experience • Experience in python and SQL • Experience in Omniture, Tablaeu or similar data visualization tools • An understanding of how customers find and ...

By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

Data Analyst

Riverside, CA · On-site

$142K/yr

The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst will be responsible for transforming complex data into actionable ...

The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst will be responsible for transforming complex data into actionable ...

Data Analyst

Riverside, CA · On-site

$142K/yr

The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst will be responsible for transforming complex data into actionable ...

Showing results 41-60

Data Visualization information

See California salary details

$53.3K

$108K

$159.4K

How much do data visualization jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data visualization 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 data visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

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

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What are some common challenges faced by professionals in data visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in presenting insights effectively to stakeholders.

What are the most commonly searched types of Data Visualization jobs in California?

The most popular types of Data Visualization jobs in California are:

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

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

What cities in California are hiring for Data Visualization jobs?

Cities in California with the most Data Visualization job openings:

Infographic showing various Data Visualization job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $108,017 per year, or $51.9 per hour.

Data Engineer

Centstone

Sunnyvale, CA • On-site

$75 - $85/hr

Contractor

Re-posted 9 days ago


Job description

Data Engineer
Location: Sunnyvale, California (Onsite)

Contract: 6 –12+ Months

Experience: 12 – 15 Years
About the Role

We are seeking an experienced Data Engineer for an onsite contract opportunity with a leading technology client in Sunnyvale, California. The ideal candidate will have strong expertise in Snowflake, SQL, ETL, DBT, Tableau, Python, and Data Architecture, with the ability to design scalable data solutions and support enterprise reporting and analytics initiatives.

Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL workflows.

  • Build and optimize data models, reporting solutions, and interactive dashboards.

  • Develop and manage data solutions using Snowflake, SQL, DBT, and Tableau.

  • Collaborate with cross-functional teams to deliver business intelligence and analytics solutions.

  • Ensure data quality, performance optimization, and adherence to data architecture standards.

Requirements
  • 12–15 years of Data Engineering experience.

  • Strong expertise in SQL, Snowflake, ETL, DBT, Tableau, and Python.

  • Experience with data architecture, reporting, and data visualization tools.

  • Exposure to AI/ML concepts and enterprise analytics platforms.

  • Excellent communication, stakeholder management, and business analysis skills.

Position Highlights
  • Job Title: Data Engineer

  • Client: Apple

  • Employment Type: Contract

  • Duration: 6–12+ Months

  • Work Location: Sunnyvale, CA (Onsite)

  • Rate: $75–$85/hr C2C (DOE)

  • Visa: Any Valid Work Authorization

  • Preferred Background: Ex-Apple, PayPal, Netflix, Meta, AWS, Product Companies, or Startups

Core Skills
  • Snowflake

  • SQL

  • ETL

  • DBT

  • Tableau

  • Python

  • AWS

  • Data Architecture

  • Reporting & Data Visualization

  • AI/ML Exposure

  • ThoughtSpot

  • DataRobot

  • Excel

  • Numbers

  • Quip

  • Keynote

  • Miro

  • Slack

  • Project & Stakeholder Management

Candidates with experience supporting enterprise reporting, analytics, and cross-functional business teams in large-scale product environments are highly preferred.


Centstone logo

About Centstone

Sourced by ZipRecruiter

In the dynamic landscape of today’s business environment, flexibility is key. At Centstone, we understand the unique demands of your industry and offer tailored Contract Hiring solutions to empower your organization with the right talent when you need it most.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Hazlet, NJ, US

Year founded

2022

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