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Palantir Architect/Engineer

Remote • Posted 4 days ago
Remote Contract IT & Technology

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., TensorFlow, 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., TensorFlow, 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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