Data Visualization Engineer Jobs

Data Visualization Engineer jobs are open across tech, finance, healthcare, and consulting, from junior to staff and principal level, with specializations in business intelligence, geospatial analysis, and interactive dashboard development. Scan the live roles below and apply to whichever ones fit.

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Overview

Open roles97
Top stateVirginia
Top employerThermo Fisher Scientific
Top cityArlington, VA
Work type43% On-site
Top industryTechnology

Showing 5 of 97+ Data Visualization Engineer jobs

Leader - Digital Visualization and Data Analytics Dev
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Leader - Digital Visualization and Data Analytics Dev
Marsh
New York, New York
Business Analysis
Data Analytics
Data Science
$161k - $322k/yr
Hybrid
10,000+

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Lead – Data Visualization & Platform Support
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Lead – Data Visualization & Platform Support
Lorven Technologies Inc.
California
IT Support & Systems Administration
Cloud & DevOps
Technical Product & Program Management
Data Science & Analytics
IT Support
On-Site
None

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Adjunct Instructor, Data Analysis & Visualization
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Added 2d ago
Adjunct Instructor, Data Analysis & Visualization
Wentworth Institute of Technology
Boston, Massachusetts
Compensation & Benefits
Executive Leadership & C-Suite
Human Resources (HR) — Generalist
Master's degree in anthropology
201-500

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Data Visualization Analyst, Northeast Ohio
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Data Visualization Analyst, Northeast Ohio
LIFEBANC
Cleveland, Ohio
Business Analysis
Program Management
Project & Program Management
Project Management
Bachelor's degree in statistics
51-200

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Sr Data Visualization Analyst
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Sr Data Visualization Analyst
CB&I
The Woodlands, Texas
Accounting
Business Operations
Tax
Bachelor's degree in information technology
1,001-5,000

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Data Visualization Engineer Job Market

Who's Hiring

Thermo Fisher Scientific8 open roles
Booz Allen Hamilton7 open roles
Guardians of Honor6 open roles

Top Industries Hiring

  • Technology & Software
  • Agriculture & Farming
  • Consulting & Professional Services

What Employers Look For

The qualifications that appear most often in data visualization engineer jobs.

  • Proficiency in Tableau, Power BI, or Looker for building production dashboards
  • Strong SQL skills for querying and transforming large datasets
  • Experience with JavaScript visualization libraries, especially D3.js or Vega-Lite
  • Ability to translate business requirements into clear, actionable visual designs
  • Familiarity with Python or R for data preparation and exploratory analysis
  • Bachelor's degree in computer science, data science, statistics, or a related field

Tips for Your Data Visualization Engineer Job Search

Show tools and output together

Your resume should list the visualization stack you know, Tableau, D3.js, Power BI, and Vega-Lite, alongside the actual dashboards or reports those tools produced. Hiring managers want to see both the instrument and the result, not just a list of software.

Build a portfolio with real datasets

A portfolio of three to five published projects carries more weight than a degree credential alone. Use publicly available datasets, census data, public health records, and financial filings, so reviewers can interact with your visualizations and judge your design instincts directly.

Apply early to roles that fit

Migrate Mate lists data visualization engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.

Target postings by data stack, not just title

Job titles vary wildly: data visualization engineer, BI developer, analytics engineer, and data storyteller often describe identical work. Search by tool, D3.js developer, Tableau engineer, and you'll surface roles that match your skills even when the title doesn't.

Prepare a design-rationale walkthrough

Interviewers frequently ask you to present a past project and defend your visual choices. Practice explaining why you chose a specific chart type, color scheme, or interaction pattern, because the reasoning behind your decisions matters as much as the finished output.

Negotiate by scoping the data infrastructure

Before accepting an offer, ask whether a data warehouse and clean pipelines are already in place or whether you'll be building from raw, messy sources. The answer affects how much of your time goes to wrangling versus visualization, and that scope difference justifies a compensation conversation.

Data Visualization Engineer Jobs: Frequently Asked Questions

Which companies are hiring the most data visualization engineers?

The companies hiring the most data visualization engineers right now include Thermo Fisher Scientific, Booz Allen Hamilton, and Guardians of Honor, with the largest share of openings in Virginia, New York, and Maryland, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in technology, financial services, and healthcare analytics teams.

How many data visualization engineer jobs are remote?

About 57% of data visualization engineer openings are fully remote or hybrid as of November 2026, reflecting the role's output-driven nature. Dashboard development and BI reporting work tend to be the most remote-friendly sub-areas, while embedded analytics roles tied to product teams more often require in-office or hybrid presence.

How do you become a data visualization engineer?

Start by building proficiency in SQL and at least one visualization platform such as Tableau or Power BI, then learn a JavaScript charting library to handle custom web-based work. Build a portfolio of projects using real, publicly available datasets. Practice translating ambiguous business questions into clean visual formats, because that design judgment is what separates strong candidates from people who only know the tools.

How do you get a data visualization engineer job with little experience?

Focus on building a public portfolio rather than chasing credentials. Reproduce well-known charts from scratch using D3.js or Vega-Lite to demonstrate technical depth, and document your design decisions in writing alongside each project. Roles titled junior BI developer or analytics associate often share the same skill set and serve as a practical entry point before moving into dedicated visualization engineering work.

What does the data visualization engineer interview process look like?

Most processes run three to four stages. An initial recruiter screen is followed by a technical assessment, usually a take-home exercise asking you to build or redesign a chart with a provided dataset. A live technical round tests your SQL and tool proficiency through practical problems. A final stage typically involves presenting a past project to a panel and defending your visual design choices in detail.

Where can I find and apply to data visualization engineer jobs?

You can find and apply to data visualization engineer jobs on Migrate Mate, which lists current openings from companies across the United States. Search for roles that match your stack and experience level, then apply directly to each listing that fits. All the active openings are on this page, so start by scanning what's available right now.

See All 97 Data Visualization Engineer Jobs

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