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Data Visualization Engineer

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April 11, 2024 Updated April 6, 2025 17 minute read
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A Comprehensive Guide to a Career as a Data Visualization Engineer

A Data Visualization Engineer specializes in transforming complex datasets into clear, compelling, and interactive visual representations. Think of them as translators, bridging the gap between raw data and the people who need to understand it. They use charts, graphs, dashboards, and maps to reveal hidden patterns, trends, and insights that might otherwise be lost in spreadsheets or databases. This role is crucial in helping organizations make informed decisions based on evidence rather than intuition.

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Salaries for Data Visualization Engineer

City
Median
New York
$183,000
San Francisco
$191,000
Seattle
$158,000
See all salaries
City
Median
New York
$183,000
San Francisco
$191,000
Seattle
$158,000
Austin
$167,000
Toronto
$112,000
London
£68,000
Paris
€52,000
Berlin
€75,000
Tel Aviv
₪137,000
Singapore
S$133,000
Beijing
¥625,000
Shanghai
¥530,000
Shenzhen
¥791,000
Bengalaru
₹675,000
Delhi
₹580,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Data Visualization Engineer

Take the first step.
We've curated 24 courses to help you on your path to Data Visualization Engineer. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Data Science on the Google Cloud Platform
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Comprehensive reference for experienced practitioners who want to master Azure Machine Learning. It covers advanced techniques, best practices, and troubleshooting tips, making it an invaluable resource for professional data scientists and engineers.
Data Science on the Google Cloud Platform
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Data Science on the Google Cloud Platform
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Hadoop in Practice
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Focuses on the Microsoft Azure Machine Learning Studio, a drag-and-drop interface for building and deploying ML models. It is suitable for individuals with limited coding experience who want to leverage Azure ML for their projects.
Hadoop in Practice: Includes 85 Techniques
Paperback
$$
Hadoop in Practice: Includes 104 Techniques
Paperback
$$
Hadoop in Practice by Alex Holmes (2012-10-13)
Paperback
$$$
Hadoop in Practice (Korean Edition)
Paperback
$$$
Hadoop in Practice 1st (first) by Holmes, Alex...
Paperback
$$$
Hadoop in Practice: Includes 104 Techniques
Kindle Edition
$$
Cover image
Introducing Machine Learning
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Offers a gentle introduction to Azure Machine Learning for beginners. It covers basic concepts and provides hands-on tutorials to help readers get started with building and deploying ML models using Azure ML.
Introducing Machine Learning
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Introducing Machine Learning
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Relevant careers
Ingeniero de datos
Data Analyst
Statistician
Data Scientist
Software Engineer
Data Engineer
Business Intelligence Analyst
UX Designer
Related topics
Azure Machine Learning
AWS Athena
Data Visualization
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Related courses
Data Visualization with R from IBM Skills Network 用Python玩转数据 Data Processing Using Python from Nanjing University Build Your First Dashboard with Power BI from Matthew Calderwood Building Your First Dossier in MicroStrategy from Erik Whitaker DataFrames with Pandas from Dhiraj Kumar Python Data Visualization from Rice University Build Your First Data Visualization with FusionCharts from Pinal Dave Jupyter & Python: Visualize, Optimize & Accelerate from EDUCBA Master the Art of Data Visualization With Tableau Public from Coursera Project Network DataViz - Grammaire des Graphiques avec Python from Coursera Project Network Visualizing Data on AWS from Mohammed Osman Data Visualization in JavaScript with React and D3.js from Caleb Diehl Build Data Visualizations with D3.js & Firebase from The Net Ninja (Shaun Pelling) D3.js v5: From Beginner To Understanding from Nicholas Gati D3.js in Action: Build 17 D3.js Data Visualization Projects from Crypters Infotech Master D3.js with Concepts & 25+ Projects | ~43 Hours from Chethan Kambi Interactive charts with D3 and Angular from Carlos Moura Learn D3.JS Hands-on And The Simple Way from UI5 Community Network D3.js - the art of data visualization from Marek Pilczuk Plotting Data with Pandas from Jason Browning, Ph.D. Building Data Visualization Tools from Johns Hopkins University Tableau 2019 + Tableau 2018: Tableau DS Certification from Emin Cengay | Tableau Developer, Mert KOÇ Plots Creation using Matplotlib Python from Coursera Project Network Try It: Intro to Python from edX
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