Palantir Developer
- Source: LinkedIn
- Innovative Information Technologies, Inc.
- Hybrid
- New York City
- Full-Time
- Mid level
Job Description
Position
Palantir Developer
Location
NYC, NY (Hybrid Model) Position Type
6 + Months Contract Job Description Job Description
“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 tackle
key data-driven technology initiatives
- Should be a highly skilled computer programmer who is comfortable with both front and
back-end programming.
- Responsibilities include developing and designing front end web user interfaces from a
composable architecture, integrating existing data sets and models, developing and
maintaining semantically driven object ontologies, and ensuring the responsiveness of
applications, among other duties.
- Developing front end website architecture based on Palantir Foundry.
- Designing user interactions on web pages within Palantir Foundry
Workshop.Developing back-end code logic that leverages semantic object linking
(ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and Ontology
Manager.
- 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 distributed
storage, 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/Google Cloud Platform,
Docker, Kubernetes, Terraform) and operating in heterogeneous or restricted enterprise
environments.”
Skills
- palantir
- workbook
- Python
- pyspark
- Java
- Spark
- apache-spark-sql
- Kafka
- Kubernetes
- amazon-web-services
- microsoft-azure
- google-cloud-platform
- Docker
- Terraform
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