Palantir Data Engineer || Rosemead, CA

[Savi Technologies LLC]

Please share suitable profiles.

Title: Palantir Data Engineer
Location: Rosemead, CA

Duration:6 months

Descriptions:

Python, PySpark, and SQL , Strong data engineering background (ETL / ELT concepts), Foundry certifications

5-10 years overall, with strong Palantir Foundry experience
Must Have Technical/Functional Skills    Design, develop, and maintain data pipelines using Palantir Foundry (Pipeline Builder, Code Workbooks).
Build and manage Palantir Ontologies (Object Types, Link Types, Properties) to enable semantic and business-friendly data access.
Ingest, transform, validate, and enrich data from multiple enterprise and external sources.
Implement scalable data transformations using Python, PySpark, and SQL.
Ensure data quality, lineage, governance, reliability, and performance across pipelines.
Collaborate with business stakeholders, data scientists, and platform teams to translate business needs into technical solutions.
Support analytics, operational dashboards, and downstream AIML use cases.
Monitor, troubleshoot, and optimize existing Foundry assets and pipelines.
Contribute to Agile delivery, documentation, and knowledge sharing.
Experience Required     Preferred Nice-to-Have
 Experience with Palantir AIP and AIML-enabled use cases.
 Knowledge of TypeScript JavaScript for Foundry applications.
 Experience with cloud platforms (Azure, AWS, or GCP).
 Palantir Foundry certification.
 Prior experience in utilities, energy, public sector, or large regulated enterprises.
Roles & Responsibilities       
Generic Managerial Skills      
Education       Bachelors degree in Computer Science, Engineering, Mathematics, or equivalent
referred  Nice-to-experience.
5 years of experience in data engineering or data-intensive application development.
Hands-on experience with Palantir Foundry, including ontology modeling and pipeline development.
Strong programming skills in Python with solid experience in SQL and PySpark.
Strong understanding of data modeling, ETLELT concepts, and data governance.
Excellent analytical, problem-solving, and communication skills.

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