Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
New York, NY, United States
Posted
Yesterday
DockerSQLAWSApacheApache SparkAzureGoogle CloudJavaKafkaKubernetesPythonTerraform
Job Description
Experience
10–12 years of overall experience.3–4 years of experience as a Palantir Developer.
Job Description
- Experience in executing projects and leading engineering teams to tackle key data-driven technology initiatives.
- Highly skilled computer programmer comfortable with both front-end and back-end programming.
- Develop and design front-end web user interfaces using a composable architecture.
- Integrate existing datasets and models.
- Develop and maintain semantically driven object ontologies.
- Ensure application responsiveness and performance.
- Develop front-end website architecture based on Palantir Foundry.
- Design user interactions on web pages within Palantir Foundry Workshop.
- Develop back-end code logic leveraging semantic object linking and ontologies within:
- Palantir Foundry Pipeline Builder Code Workbook Ontology Manager
Required Skills
- Strong Palantir Foundry experience.
- Proficiency with server-side languages for structured data processing: Python PySpark Java Apache Spark Spark SQL
- Proven experience building and operating distributed storage, messaging, or compute systems, such as: Apache Spark Kafka Kubernetes Ray Custom distributed engines
- Strong understanding of: Data structures Schema evolution Microservice architectures Robust and developer-friendly API design
- Strong familiarity with cloud-native tooling: AWS / Azure / Google Cloud Platform Docker Kubernetes Terraform
- Experience operating in heterogeneous or restricted enterprise environments.
Key Responsibilities
- Lead and execute data-driven technology initiatives.
- Develop scalable front-end and back-end solutions using Palantir Foundry.
- Build and maintain semantic data models and object ontologies.
- Develop responsive web interfaces using Palantir Foundry Workshop.
- Develop data processing solutions using Python, PySpark, Java, Spark, and Spark SQL.
- Design and develop distributed systems and scalable APIs.
- Work with cloud-native technologies and enterprise infrastructure.
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