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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Palantir Ontology Data Engineer - **Company:** JUPITER IT SOLUTIONS LLC - **Location:** Spring, TX, United States - **Salary:** $187,200.0 - $208,000.0 - **Contract:** Temporary contract - **Skills:** Agile Methodology, Software Applications, Data Architecture, Data Integration, Digital Assets, Distributed Computing Environment, Python (Programming Language), Software Architecture, Software Project Management, SQL Databases, Data Streaming, Apache Spark, Software Application Programming, Data Layers, Information Technology, Build Tools, Data Pipelines, Programming Languages - **Published:** June 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=66e043d41fa7c11d ## About the Role Do you have experience in Teamwork?, · 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.) ## Description · As part of the Team, help build tools that optimise investment and operational decisions in the world-class, scalable capture system that is built. · Be a specialist in building and maintaining production-grade data pipelines, data connections, and ontologies within the Palantir Foundry platform. · Implement the data layer of the 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 team What you will do · 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 visualisation 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. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)