Partner with Palantir FDEs and internal stakeholders to design, build, and operationalize solutions within Palantir Foundry and AIP.
Learn and apply Palantir's frameworks, workflows, and ontology-driven design principles to integrate, transform, and analyze complex datasets.
Develop and maintain data pipelines, models, APIs, and workflows that enable scalable and secure enterprise use cases.
Collaborate with business users to translate requirements into technical designs and implement end-to-end solutions.
Contribute to AI/ML use cases leveraging Palantir AIP for decision support, automation, and advanced analytics.
Ensure security, compliance, and data governance standards are met across implementations.
Document processes, share knowledge, and help build an internal Palantir practice for long-term success.
Qualifications Required
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
Strong foundation in at least one of the following areas:
o Software engineering (Python, Java, TypeScript/React, or similar).
o Data engineering (SQL, Spark, cloud data platforms).
o Analytics / data science (statistics, ML frameworks, visualization). Demonstrated ability to learn new platforms and technologies quickly and apply them in real projects.
Experience with cloud environments (AWS, Azure, or GCP).
Strong problem-solving skills and ability to work in fast-paced, collaborative teams.
Excellent communication skills to engage with both technical and non-technical stakeholders.
Preferred Experience in enterprise data integration, APIs, or distributed systems.
Familiarity with DevOps practices (CI/CD, containerization, infrastructure-as-code).
Exposure to AI/ML concepts and practical application.
Previous work in high-compliance industries (healthcare, financial services, government) a plus.
What We Offer
Direct mentorship from Palantir's Forward Deployed Engineers during project build-out.
Opportunity to become a Palantir Foundry and AIP expert with skills highly in demand across industries.
Work on mission-critical data and AI solutions with visibility at the highest levels of the organization.
* Competitive compensation, benefits, and a growth pathway into senior engineering and solution architecture roles.
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