Company profile

Data Machines Tech Stack

Cloud data, AI and simulation engineering for defense and intelligence missions

Information Technology & Services Reston, Virginia 51–200 employees Founded 2016 Privately Held

Data Machines is a Reston-based engineering firm building cloud data platforms, DevSecOps pipelines and simulation tools for defense and intelligence work. Azure Government, OpenStack and Remedy alongside Databricks, Airflow and Kubernetes point to government-cloud delivery at petabyte scale. Accelerating, engineering-heavy hiring with a new QA lead and work on quality gates and testing infrastructure suggest a push to harden software quality.

Tech Stack 57 technologies

Core StackServiceNow Python C++ C# Docker Kubernetes AWS Databricks Java Rust TypeScript React JavaScript Angular Vue Azure DevOps GitLab PostgreSQL Apache Airflow Remedy IT Service Management Azure Azure Government Azure Blob Storage Azure Virtual Network Storm OpenStack WebGL OpenGL Model Context Protocol Jupyter+27 more

What Data Machines Is BuildingChallenges and projects from their job posts

◆Challenges

Scaling petabyte data store and compute environment
Constantly changing requirements
Building high-complexity, information-dense applications
Unifying DevSecOps and automating security practices
Improving software quality and testing infrastructure

▲Active Projects

Defense and intelligence simulation and decision-support capabilities
Advanced platform environment deployment
Simulation and optimization testing infrastructure
CI/CD pipelines with integrated testing and quality gates
Automated data ingestion pipelines
Real-time query and analysis web applications

Hiring Activity

Accelerating10 roles · 9 in 30d

Department

Engineering

Data

Design

Support

Seniority

Mid

Senior

Lead

Principal

Notable leadership hires: Quality Assurance Lead

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About Data Machines

Data Machines, founded in 2016 and headquartered in Reston, Virginia, is a privately held data analytics and engineering company with 51–200 employees. It designs and operates cloud architectures for data science, AI/ML, DevSecOps, cybersecurity and high-performance compute. Its work centers on simulation, optimization and decision-support applications for mission-focused defense and intelligence customers. The team builds across Azure, Azure Government, AWS and OpenStack, with front ends in React, Angular, Vue and WebGL. Hiring is concentrated in the United States.

HeadquartersReston, Virginia

Company Size51–200 employees

Founded2016

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Data Machines use?

Data Machines works with Azure and Azure Government, AWS, OpenStack, Kubernetes, Docker, Databricks, Apache Airflow, PostgreSQL, Python, C++, Rust, TypeScript, React, WebGL, GitLab and Azure DevOps.

Is Data Machines hiring engineers?

Yes. Hiring is accelerating and centered on engineering at mid and senior levels, plus data, design, support and a Quality Assurance Lead role, all in the United States.

What is Data Machines working on?

Current work includes defense and intelligence simulation capabilities, decision-support applications, CI/CD pipelines with quality gates, automated data ingestion pipelines and real-time query and analysis web apps.

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How this profile is built

Data Machines's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.