USAAHiring

Senior Visualization Engineer

  • Remote, United States
  • Senior
  • Posted 9 days ago
In one line

Senior data visualization role turning complex business data into dashboards and reports, in the office four days a week at one of several US sites.

About the role

Fits someone who can question stakeholders closely, pick the right tool for each dataset and keep enterprise branding consistent. Prototyping and end-user experience matter as much as the final chart.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Data Visualization, Business Intelligence, Data Transformation, Data Engineering, Agile
Posted
20 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Gather complex business requirements with customers and pin down the data needs
  • Build business intelligence solutions such as visualizations, data transformation or collection
  • Partner with IT teams on analytic infrastructure and data engineering work
  • Advise stakeholders on visualization choices that move business value

What they look for

  • Degree in economics, finance, statistics, math, actuarial science, operations research, data science or a related quantitative field
  • Advanced grasp of several data structures and sources
  • Ability to lead cross-functional teams and prototype solutions
  • Knowledge of data visualization best practices and enterprise branding
  • Awareness of risk and compliance rules around business data

How Keywordise applies for you

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Connector URL
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Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

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Message for Muse
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Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Is this job fully remote, and from where?

Yes. The posting lists Senior Visualization Engineer as a remote role for candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: degree in economics, finance, statistics, math, actuarial science, operations research, data science or a related quantitative field; advanced grasp of several data structures and sources; ability to lead cross-functional teams and prototype solutions. Skills it names include Data Visualization, Business Intelligence, Data Transformation, Data Engineering.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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