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Palantir Architect​/Engineer

Job in Fernley, Lyon County, Nevada, 89408, USA
Listing for: Empiric
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 90 - 110 USD Hourly USD 90.00 110.00 HOUR
Job Description & How to Apply Below

This range is provided by Empiric. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$90.00/hr - $110.00/hr

Location: Remote

Rate: $90 - $110 per hour

Contract: 6-months initial

Overview

As a Palantir Architect/Engineer, you will play a pivotal role in designing and implementing data solutions using Palantir technologies. You will collaborate closely with clients to understand their needs and deliver tailored solutions that integrate seamlessly with their existing systems. Your expertise in data engineering, AI/ML tools, and cloud services will be essential in driving successful project outcomes.

Responsibilities
  • Design, develop, and implement data solutions using Palantir technologies.
  • Engage with clients to gather requirements and understand their business challenges.
  • Collaborate with cross-functional teams to integrate AI/ML tools and frameworks (e.g., Tensor Flow, PyTorch) into data pipelines.
  • Optimize data workflows and ensure data quality and integrity.
  • Leverage AWS cloud services to enhance data infrastructure and scalability.
  • Provide technical guidance and support to clients throughout the project lifecycle.
  • Troubleshoot and resolve technical issues as they arise.
  • Stay up-to-date with industry trends and emerging technologies.
Qualifications
  • Hands-on experience in data engineering with a focus on Palantir technologies as an engineer or architect.
  • Strong familiarity with AI/ML tools and frameworks (e.g., Tensor Flow, PyTorch) and their integration into data pipelines.
  • Extensive experience with cloud services, particularly AWS.
  • Proven ability to work closely with clients, understanding their needs and delivering effective solutions.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills.
  • Ability to work both independently and within a team environment.
Preferred Qualifications
  • Experience with additional cloud platforms (e.g., Azure, Google Cloud).
  • Knowledge of other data engineering tools and frameworks.
  • Familiarity with data governance and compliance standards.
Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting
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