Candidates will be required to complete identity verification and one face to face interview at one of our offices nationwide. https://mbakerintl.com/locations/ This position operates on a remote work schedule in the United States. No sponsorship is provided for this role; all candidates must be eligible to work for any employer in the United States without restrictions indefinitely. DATAMARK Practice DATAMARK Technologies is a technology division of Michael Baker International dedicated to building mission-critical geospatial and public safety solutions that operate where reliability is non-negotiable. The division designs and delivers cloud-native geospatial platforms that integrate advanced AI and machine learning capabilities into spatial data workflows — powering applications that sit inside live public safety call flows and enterprise operating environments where accuracy and uptime directly impact outcomes. DATAMARK Technologies serves public safety agencies and enterprise clients across the United States, providing intelligent geospatial solutions built on modern, autonomous, and scalable architectures. The team combines deep domain expertise in spatial data engineering with a forward-leaning approach to AI-driven automation, enabling clients to move faster, operate smarter, and make better decisions from their geospatial data. DATAMARK Technologies represents Michael Baker International's commitment to technology innovation at the intersection of geography, intelligence, and public safety. What We're Looking For Michael Baker International is seeking a Full Stack Software Engineer to join the DATAMARK Technologies team in a hybrid capacity, supporting clients and operations across the United States in one of our many offices. This role focuses on shipping features end-to-end across a modern web frontend, serverless backend services, and AI-augmented workflows that transform how public safety and enterprise professionals interact with spatial data. You will work on mission-critical 9-1-1 and enterprise applications, leveraging modern cloud platforms and AI frameworks to deliver intelligent geospatial solutions.
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Job Type
Full-time
Career Level
Mid Level