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Working at Data I/O

Zippia score 3.7

Overview

Revenue

Reviews

DemographicsCompetitorsCEO & Executives

Data I/O overview

Industry
Manufacturing
Revenue
$20.3M
Headquarters
Employees
102
Founded in
Website
Organization type
Public
CEO
Anthony Ambrose
Social media
Data I/O is the provider of manual and automated programming solutions for Flash, Microcontroller and Logic devices. At Data I/O, we bring the world's premier companies' products to life. Leading global electronics manufactures, OEM, ODM, EMS, programming centers and semiconductor companies for automotive, wireless, industrial controls, military and medical devices market segments trust Data I/O's solutions to correctly program their devices during the manufacturing process. Our customers manufacture tablets, smart phones, hand held devices, wearable electronics, gaming systems, braking systems, engine control units, medical monitoring devices, lighting controls, industrial monitoring systems and more.
Data I/O is a well-established company. It was founded way back in 1969. This time-proven company loves to hire graduates from University of Washington, with 21.6% of its employees having attended University of Washington. Want to explore some other great places to work in Redmond, WA? You can check out our full list of Best Companies to Work For in Redmond, WA.
Based in Redmond, WA, Data I/O is a small manufacturing company with only 102 employees and an annual revenue of $20.3M.

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The team at Data I/O

  • The key people at Data I/O is Anthony Ambrose.
Key people
Anthony Ambrose

Data I/O rankings

Data I/O is ranked #8 on the Best Manufacturing companies to work for in Redmond, WA list. Zippia's Best Places to Work lists provide unbiased, data-based evaluations of companies. Rankings are based on government and proprietary data on salaries, company financial health, and employee diversity.

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Data I/O diversity

7.4
Diversity score
We calculated Data I/O’s diversity score by measuring multiple factors, including the ethnic background, gender identity, and language skills of Data I/O’s workforce.
Data I/O diversity summary. Zippia estimates Data I/O's demographics and statistics using a database of 30 million profiles. Zippia verifies estimates with BLS, Census, and current job openings data for accuracy. We calculated Data I/O's diversity score by measuring multiple factors, including the ethnic background, gender identity, and language skills of Data I/O's workforce.
  • Data I/O has 102 employees.
  • 18% of Data I/O employees are women, while 82% are men.
  • The most common ethnicity at Data I/O is White (59%).
  • 19% of Data I/O employees are Asian.
  • 13% of Data I/O employees are Hispanic or Latino.
  • The average employee at Data I/O makes $57,759 per year.
  • Employees at Data I/O stay with the company for 5.4 years on average.

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Data I/O financial performance

8.1
Performance score

Data I/O annual revenue

$29M
$23M
$18M
$12M
$6M
$0
2016
2017
2018
2019
2020

Highest paying Data I/O competitors

Compare Data I/O salaries to competitors, including NVIDIA, Xilinx, and Rambus. Employees at NVIDIA earn the highest average yearly salary of $138,575. The salaries at Xilinx average $122,133 per year, and the salaries at Rambus come in at $115,339 per year.
RankCompanyAverage salaryJobs
1$138,5750
2$122,1330
3$115,3390
4$110,4960
5$109,5460
6$109,1750
7$107,5860
8$102,3630
9$94,2080
10$91,4870
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    Updated March 14, 2024

    Zippia gives an in-depth look into the details of Data I/O, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Data I/O. The employee data is based on information from people who have self-reported their past or current employments at Data I/O. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by Data I/O. The data presented on this page does not represent the view of Data I/O and its employees or that of Zippia.

    Data I/O may also be known as or be related to DATA I O CORP, Data I/O, Data I/O Corp., Data I/O Corporation and Data I/o.