Data Engineer-Palantir

Overview

On Site
$70-75
Contract - W2
Contract - 26 day((s))
100% Travel

Skills

python
Palantir
Spark

Job Details

Job Title: Palantir-Data Engineer
Location: Spring, TX (On-site 5 days/week)
Job Type: Long-Term Contract
Interview Process: 60-minute Zoom video interview, followed by a potential onsite round

Role Overview:

Join a cross-functional data team working to develop tools that optimize investment and operational decision-making for a large-scale carbon capture initiative. You'll play a key role in building and maintaining high-performance, production-grade data pipelines and ontologies using the Palantir Foundry platform.

Key Responsibilities:

  • Build and maintain robust data pipelines, connections, and ontology models in Palantir Foundry.

  • Translate existing data architecture into an ontology-based model within Foundry.

  • Develop backend logic leveraging semantic object linking to enhance data integration, analysis, and visualization.

  • Provide architectural and design recommendations to improve performance and scalability.

  • Collaborate with data strategists and stakeholders to implement tech solutions for complex business problems.

  • Perform data validation and transformation tasks within the Ontology Manager.

  • Create interface code to facilitate integration with other systems.

  • Define and manage configurations for ontology objects including permissions and dataset mappings.

  • Document data models, schemas, and API specifications.

  • Partner with architects, product owners, and developers to ensure cohesive data architecture.

  • Provide user training and support on leveraging ontology capabilities in Foundry.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Math, or a related field-or equivalent practical experience.

  • Proven experience as a Data Engineer or in developing data-intensive applications.

  • Hands-on experience with Palantir Foundry, especially in ontology modeling and data pipeline creation.

  • Proficiency with Python, SQL, and distributed computing frameworks like Apache Spark.

  • Strong problem-solving skills and the ability to grasp complex architectures and data models.

  • Excellent collaboration and communication skills; comfortable working in Agile environments.

Preferred Experience:

  • Broader experience with Palantir Foundry tools such as Workshop, Quiver, etc.

  • Ability to adapt quickly to changing priorities while delivering high-quality results.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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