{"id":1648838,"url":"https://alion.io/job/data-machines-full-stack-engineer","title":"Full Stack Engineer","company":{"id":3854779,"name":"Data Machines","domain":"datamachines.com","url":"https://alion.io/company/data-machines","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":80000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"Hibernate","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"OpenStack","optional":false},{"name":"Podman","optional":false},{"name":"Python","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"TCP/IP","optional":false},{"name":"Angular","optional":true},{"name":"Ansible","optional":true},{"name":"Apache NiFi","optional":true},{"name":"Configuration Management","optional":true},{"name":"ElasticSearch","optional":true},{"name":"FastAPI","optional":true},{"name":"Hadoop","optional":true},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-05T02:03:09Z","employer_posted_date":null,"last_verified_at":"2026-09-05T02:03:09Z","board_verified":false,"closed_at":null,"days_open":30,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":30},"description":"Security clearance: Top Secret/SCI\nLocation: Herndon, VA or Springfield, VA\n\nClearance Requirement: Top Secret with SCI Eligibility\n\nSalary Range: $80,000-$200,000+\n\nJob Description:\n\nCome join the future of data-driven decision making! At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world, critical mission problems.\n\nWhat You'll be Doing:\n\nDeveloping web applications for real-time query and analysis of our petabyte-scale data store, creating distributed analytics purpose-built to support our mission partners, and helping to construct new and maintain existing data pipelines tasked with automatically retrieving and ingesting data.\n\nMinimum Qualifications:\nCurrent Top Secret security clearance w/ SCI Eligibility and willing to get a CI poly\nBachelor's degree in Computer Science, Information Systems, Software Engineering or a related field (4 additional years of experience may be substituted for a Bachelor's degree. A Master's degree may count as an additional 2 years of experience.)\n8+ years demonstrated experience with programming, design, and development.\nIn-depth knowledge in Python, Java, or similar programming language.\nWorking knowledge of containerization (Docker, Podman) and container orchestration (Kubernetes,Nomad, etc)\nExperience with ORM software (Django, SQLAlchemy, Hibernate, etc)\nWorking knowledge of Linux operating systems (navigating the filesystem, common management commands, etc)\nUnderstanding of TCP/IP networking and working knowledge of remote system workflows (SSH, port forwarding, server/client architecture, etc)\nExposure to building and supporting solutions in a cloud like environment (such as OpenStack)\nWorking knowledge of agile software development practices and tools, such as GitLab\nMust be able to work on-site in Hendon, VA\n\nPreferred Qualifications:\nExperience deploying, maintaining, and utilizing an Elasticsearch cluster\nExperience with Spark.\nExperience with Hadoop (HDFS, YARN)\nExperience using Python web frameworks (Django, FastAPI, etc)\nExperience with front-end development using React, Angular, or other JS framework\nAPI Rest Framework development/maintenance\nData flow orchestration using Nifi or similar\nExperience with provision and configuration management tools such as Ansible, Terraform, or similar\nYou are a creative and driven problem-solver who wants to apply breakthrough technologies to support a platform actively used by thousands of users supporting mission\nStrong verbal, written, and organizational skills\n\nCompensation will be determined based on the selected candidate's education, experience, skills, and other relevant qualifications.\n\nData Machines is hiring for similar positions supporting multiple programs across Northern Virginia. This opening specifically supports a program located in Reston or Springfield, VA. 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