Palantir Data Engineer - Oakland, CA (San Francisco, CA) - Remote - Must be on our W2

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance Required: Active Secret Guidehouse seeks a Data Engineer to support the Department of Defense (DoD) by designing, building, and operating data pipelines and analytics solutions on the Advana platform, leveraging Databricks and Palantir Foundry to enable authoritative, decision-grade financial and operational insights. The ideal candidate will have strong hands-on experience engineering scalable data so

Job Summary: We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and data products that power analytics, regulatory reporting, operational dashboards, and emerging AI/ML use cases. You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, se

Role: Palantir Forward Deployed EngineerLocation: Cincinnati, OH (Remote) Role Overview:We are looking for a Forward Deployed Engineer with strong hands-on experience in Palantir Foundry, along with working knowledge of Amazon Web Services environments and strong programming skills in Python and SQL. In this role, you will work closely with business and technical stakeholders to design, build, and deploy scalable data-driven applications that solve complex aerospace-related challenges. The focus

Details About the job: Key Responsibilities Architect and design end-to-end data solutions using Palantir Foundry, including ontology modeling, pipeline development, and operational workflows. Collaborate with business and technical teams to translate requirements into scalable data models and applications. Lead the integration of diverse data sources (structured and unstructured) into Foundry, ensuring data quality, lineage, and governance. Develop and enforce best practices for data model