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Palantir Architect/EngineerEmpiricNew York, New York, United States
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Palantir Architect/Engineer

Empiric
  • US
    New York, New York, United States
  • US
    New York, New York, United States

À propos

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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  • New York, New York, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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