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Data Machines Tech Stack

Cloud data analytics and high-performance computing for defense and intelligence

Information Technology & Services Reston, Virginia 51–200 employees Founded 2016 Privately Held
datamachines.com LinkedIn

Data Machines builds data analytics and cloud infrastructure solutions focused on defense, intelligence, and DevSecOps. The tech stack—C++, Python, Spark, Hadoop, Kubernetes, and HPC tooling—reflects deep infrastructure work, while active projects center on simulation environments, cyber operations platforms, and HPC deployment. Current hiring (6 roles, all engineering-focused, accelerating velocity) targets mid to principal-level engineers, suggesting they're scaling platform complexity rather than expanding headcount broadly.

Tech Stack 46 technologies

Core StackC++ Python C# ServiceNow Active Directory Kubernetes Apache Spark Hadoop Ansible Docker AWS PostgreSQL Apache Airflow Apache NiFi Kafka Bitbucket GitLab Jenkins Podman STORM Remedy IT Service Management DNS DHCP Group Policy PowerShell Bash Azure OpenStack Chef Jupyter+16 more

What Data Machines Is Building

◆Challenges

  • Highly dynamic environment with constantly changing requirements
  • Maintaining hpc environment
  • Automating hpc infrastructure
  • Ensuring security compliance

▲Active Projects

  • Cutting-edge defense and intelligence simulation capabilities
  • Custom agent behaviors and interfaces for discrete event simulations
  • Deployment of advanced platform environment for cyber operation capabilities
  • Installing and configuring hpc environment
  • Developing automation for hpc
  • Upgrading hpc infrastructure

Hiring Activity

Accelerating6 roles · 6 in 30d

Department

Engineering
5
Support
1

Seniority

Mid
2
Principal
2
Senior
2
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About Data Machines

Data Machines is a data analytics and cloud architecture firm founded in 2016, based in Reston, Virginia. The company serves government and defense sectors, specializing in designing and operating cloud-native solutions for data science, machine intelligence, and DevSecOps. Core work spans custom simulation environments for discrete-event modeling, high-performance compute cluster deployment and automation, and cyber operations platforms. The engineering-heavy organization (51–200 employees) operates across AWS, Azure, and OpenStack, with a toolchain built on Apache Spark, Hadoop, Kubernetes, and NiFi for data pipelines.

HeadquartersReston, Virginia
Company Size51–200 employees
Founded2016
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Data Machines use?

C++, Python, Kubernetes, Apache Spark, Hadoop, AWS, Azure, OpenStack, PostgreSQL, Apache Airflow, Kafka, Docker, Jenkins, and Ansible. Stack reflects infrastructure-heavy work in cloud and HPC.

What is Data Machines working on?

Defense simulation capabilities, custom agent behaviors for discrete-event simulations, cyber operations platforms, HPC environment deployment, and HPC infrastructure automation.

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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.