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# Palantir Developer

- **Company:** Diversity Inc
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Files, Data Structures, Distributed Systems, Python (Programming Language), Systems Integration, Web Pages, Website Architecture, Data Processing, Google Cloud, Palantir Foundry, Apache Spark, Pyspark, Kubernetes, Data Analytics, Apache Kafka, Api Design, Terraform, Docker, Microservices
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/d75ffb7c-780b-4280-9a3d-07597bd95761/palantir-developer

## About the Role

10-12 years of overall experience and 3-4 years of experience as Palantir developer.

Note: The individuals needs to work from VNS office (NYC) 3 days a week

Should have experience in executing projects and leading engineering teams to tacklekey data-driven technology initiatives
Should be a highly skilled computer programmer who is comfortable with both front andback-end programming.

Responsibilities include developing and designing front end web user interfaces from acomposable architecture, integrating existing data sets and models, developing andmaintaining semantically driven object ontologies, and ensuring the responsiveness ofapplications, among other duties.
Developing front end website architecture based on Palantir Foundry.
Designing user interactions on web pages within Palantir FoundryWorkshop.
Developing back-end code logic that leverages semantic object linking(ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and OntologyManager.
Palantir Foundry experience.
Proficiency with server-side languages for structured data processing; Python, PySpark,Java, Apache Spark, and SparkSQL preferred.
Distributed Systems Expertise: Proven track record building and operating distributedstorage, messaging, or compute systems (e.g., Apache Spark, Kafka, Kubernetes, Ray,custom distributed engines).
Data & API Design: Deep understanding of data structures, schema evolution,microservice architectures, and designing robust, developer-friendly APIs.
Infrastructure & Cloud: Strong familiarity with cloud-native tooling (AWS/Azure/GCP, Docker, Kubernetes, Terraform) and operating in heterogeneous or restricted enterprise environments.