Palantir Data Engineer - FDE

VHL Technologies

United States

1 day ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Cloud Engineering Information Technology Consulting Continuous Integration Information Engineering Data Warehousing DevOps Graph Database InfiniBand Python (Programming Language) Machine Learning Node.Js

+21 more

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

Requirements

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.