Defense advisory firm for cost estimating, financial and program management
Quantech Services is a Lexington, MA advisory contractor supporting DoD aerospace and IT programs, with hiring now accelerating and tilted toward finance, engineering and data roles at senior and principal levels. Its job posts center on life cycle cost estimates, schedule risk quantification and audit readiness, while a stack spanning Palantir Foundry, Tableau, Power BI and Qlik Sense alongside NIST RMF and IBM DOORS points to analytics-heavy cost work inside government cyber and requirements frameworks.
Quantech Services Inc. is a privately held Advisory and Assistance Services small business founded in 1999 and headquartered in Lexington, Massachusetts. The company supports Department of Defense customers across aerospace and information technology programs. Its service lines cover program management, financial management, engineering, cyber security and information assurance, plus personnel and executive support. Quantech employs 201-500 people and recruits exclusively in the United States.
Quantech is a DoD support contractor providing program management, financial management, engineering and cyber security advisory services, with current work focused on weapon system cost estimates and budget reviews.
Quantech's stack includes Jira, Confluence, Azure DevOps, Python, Palantir Foundry, Tableau, Power BI, Qlik Sense, SQL Server, Oracle Database, IBM DOORS, NIST RMF, AWS and Azure.
Yes. Hiring is accelerating across the United States, led by finance, engineering and data roles, with security and operations also active and a strong skew toward senior and principal talent.
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Quantech Services Inc.'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.