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# Palantir Data Engineer - FDE

- **Company:** VHL Technologies
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Engineering, Information Technology Consulting, Continuous Integration, Information Engineering, Data Warehousing, DevOps, Graph Database, InfiniBand, Python (Programming Language), Machine Learning, Node.Js, NoSQL, OpenStack, Performance Tuning, Software Engineering, SQL Databases, Data Streaming, Systems Integration, Workflow Management Systems, Private Cloud Environment, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Vue.js, Data Lakes, Kubernetes, Data Management, Hardware Infrastructure, Data Pipelines, Docker, Vmware
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/0b9685c2-0277-497b-a613-f8e7def14974

## About the Role

12+ years in software engineering, data engineering, or AI/ML delivery; at least 4+ years in customer-facing or field roles.

 * Proven track record in building and deploying AI/ML applications in production at enterprise scale.
 * Deep full-stack proficiency: Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases.
 * Hands-on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks.
 * Strong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud-native deployment patterns.
 * Experience integrating across heterogeneous enterprise systems - ERP, data warehouses, data lakes, streaming architectures.
 * Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines.
 * Excellent communication skills - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration.
 * Experience with Palantir Foundry, AIP, ontology modeling , Uniphore BAIC, or similar Enterprise AI development platforms.
 * Knowledge of SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks.
 * Experience building agentic AI solutions: multi-agent systems, tool use, and autonomous workflow orchestration.
 * Familiarity with GPU infrastructure (NVIDIA H100/B200, InfiniBand) and private cloud platforms (OpenStack, VMware).
 * Prior experience in technology consulting, AI startups, or Forward Deployed / Solutions Engineering roles.
 * Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing.
 * Experience with knowledge graphs, semantic modeling , and ontology-driven data management.

Palantir certification is an advantage.



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