Role: Palantir Data Engineer

Location: Rosemead, CA - onsite

Duration: 6+ months

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

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, ETL/ELT concepts, and data governance.

Excellent analytical, problem-solving, and communication skills.

Generic Managerial Skills

Education Bachelors degree in Computer Science, Engineering, Mathematics, or equivalen