Palantir Data Engineer
Location: Spring, Texas
JPC: 1080
Role and Responsibilities:
• Quickly come up to speed on the current data organization of the product, converting that data model into a Palantir Ontology representation
• Develop back-end code logic that leverages semantic object linking (ontologies) to enhance data integration, analysis, and visualization capabilities.
• Give suggestions and recommendations on changes to the data model that would improve performance, extensibility, or flexibility of the Palantir solution
• Work closely with data strategists to develop technology solutions for business problems, ensuring seamless data flow and integration.
• 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
• Create and configure ontology objects using backing datasets, permissions, and other configurations.
• Document ontologies, data models, schemas, formats, and software application program interfaces.
• Partner with product owners, architects, and developers to design data architecture and pipelining.
• Provide training and support to users on the capabilities and use cases enabled by the enhancement of Palantir Foundry ontology.
Skills and 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 or working as a data engineer
• Producing or maintaining high-quality data assets in Foundry
• Knowledge of distributed computing frameworks (e.g., Spark) and programming languages (e.g., Python, SQL).
• Demonstrated proficiency and experience with building applications in Palantir Foundry, focused on data modeling and utilization of Ontology Manager tool
• 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
• Broad experience in other Palantir Foundry tools (e.g. Workshop, Quiver, etc.)
Must Have:
We are specifically looking for advanced data engineering skills AND experience applying those skills in Palantir Foundry product, so the best data engineer in the world without any Palantir experience will not make the cut.
Contact: ruchi.tammara@pantheon-inc.com