Palantir Data Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Data Capital Inc, is seeking the following. Apply via Dice today!

Job Overview:

• As part of the CCS100 Fusion Team, help build tools that optimize investment and operational decisions in the world-class, scalable carbon capture system that the client is building on the US Gulf Coast.
• Implement the data layer of the CCS100 application using the Palantir Foundry platform, revising the current design implemented in other technologies.
• Serve as a knowledge resource regarding Palantir tools for the rest of the CCS100 team.
  
  

Key Responsibilities:

• Quickly come up to speed on the current data organization of the CCS100 product, converting that data model into a Palantir Ontology representation
• Give suggestions and recommendations on changes to the data model that would improve performance, extensibility, or flexibility of the Palantir solution
• Set up ingestion and export relationships from the Ontology into other data sources or data stores, ensuring reliability and performance of the connection
• Implement validations and transforms of the Ontology data as required, taking full advantage of Foundry platform capabilities
• Create examples or write interface code that will ease connection to Ontology data from other parts of our system
  
  

Qualifications:

• Bachelor''''''''s degree in computer science, engineering, quantitative sciences, or mathematics; alternatively significant practical software project experience
• Multiple years of experience in building data-heavy applications and/or working as a data engineer
• Demonstrated proficiency and experience with building applications in Palantir Foundry with focuse on data modeling and utilization of Ontology Manager tool
• Experienced with using Python to process or transform data
• Strong analytical thinking skills with ability to assimilate software architectures and data designs quickly
• Adaptability to rapidly changing priorities and an ability to deliver work on time
• Good technical communication and collaboration skills; experience working in Agile teams
  
  

Preferred Qualification:

• Broad experience in other Palantir Foundry tools (e.g. Workshop, Quiver, etc.)
  
  

Top 3 Skill Sets/Technologies Required for Qualification:

• Strong Data Engineering skills and ability to build complex applications applying data science concepts
• Palantir Foundry with focus on data modeling and utilization of Ontology Manager tool
• Python programming