Rackner

HQ
Silver Spring, Maryland, USA
11 Total Employees
Year Founded: 2015

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Jobs at Rackner
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Artificial Intelligence • Cloud • Machine Learning
Join Rackner to modernize military healthcare systems by developing secure APIs and cloud-native services. Leverage your software engineering experience to improve interoperability and enhance decision support for healthcare data.
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College Park, MD, USA
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As a Computer Science Intern, you will assist in software development, conduct research, troubleshoot issues, and collaborate with teams on projects.
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2 Locations
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Lead the capture lifecycle in the DoD sector, developing strategies, proposals, and alliances. Build relationships with decision-makers and represent the company at events.
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Artificial Intelligence • Cloud • Machine Learning
The Data Intelligence Analyst role involves stakeholder engagement, process analysis, and analytics to support decision-making in a federal healthcare environment. Responsibilities include building dashboards, validating data, and ensuring reporting accuracy while collaborating with technical teams and program managers.
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USA
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As a Data Engineer, you'll design and optimize data pipelines for military healthcare, ensuring data interoperability and compliance with DoD standards.
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USA
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The Business Development Representative will support federal growth by conducting market research, customer outreach, and maintaining a pipeline. Responsibilities include identifying opportunities within the DoD, managing customer relationships, and preparing for meetings.
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USA
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The QA Automation Engineer will build automated tests and frameworks, ensure quality standards in data integration solutions, and conduct performance testing.
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The role involves designing, building, and maintaining databases for a military healthcare program, ensuring performance, security, and integration with other systems.
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USA
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Artificial Intelligence • Cloud • Machine Learning
As a DevSecOps Engineer, you'll create secure, cloud-native platforms for military healthcare, manage CI/CD pipelines, and deploy Kubernetes in AWS GovCloud, ensuring compliance and observability.