Data Machines

Data Machines

Information Technology And Services, 433 Las Colinas BLVD E Ste 1065, Ashburn, Virginia, 75039, United States, 11-50 Employees

datamachines.io

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phone no Phone Number: +19*********

Who is DATA MACHINES

We are a data analytics company that specializes in designing, building, and using cloud architectures to engineer and share solutions to difficult problems in data analytics, DevSecOps, ...

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  • 433 Las Colinas BLVD E Ste 1065, Ashburn, Virginia, 75039, United States Headquarters: 433 Las Colinas BLVD E Ste 1065, Ashburn, Virginia, 75039, United States
  • 2016 Date Founded: 2016
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: $50 Million to $100 Million
  • tech-icon Active Tech Stack: See technologies
  • Matt Quinn CEO:   Matt Quinn

industries-icon Industry: Information Technology and Services

SIC SIC Code: 2721 | NAICS Code: 323111 | Show More

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Data Machines Org Chart and Mapping

Matt Quinn

Chief Executive Officer

Employees

Zobair S

Site Reliability Engineer

Butch Istook

Director Information Security

Rion Dooley

Director of Platform Services and Solutions

Annie Weng

Director of Software Development

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Frequently Asked Questions Regarding Data Machines

Answer: Data Machines's headquarters are located at 433 Las Colinas BLVD E Ste 1065, Ashburn, Virginia, 75039, United States

Answer: Data Machines's phone number is +19*********

Answer: Data Machines's official website is https://datamachines.io

Answer: Data Machines's revenue is $50 Million to $100 Million

Answer: Data Machines's SIC: 2721

Answer: Data Machines's NAICS: 323111

Answer: Data Machines has 11-50 employees

Answer: Data Machines is in Information Technology and Services

Answer: Data Machines contact info: Phone number: +19********* Website: https://datamachines.io

Answer: We are a data analytics company that specializes in designing, building, and using cloud architectures to engineer and share solutions to difficult problems in data analytics, DevSecOps, machine intelligence / artificial intelligence, and data science.

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