Palantir Data Engineer

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

palantir
PySpark
SQL

Job Details

Title- Palantir Data Engineer
Location- Plano, TX (Onsite)
Type- Contract- C2C Works
Visa- Open
Interview Process: Face-to-Face (F2F) Interview Required

Job Description-

Key Responsibilities:
Design, develop, and optimize data pipelines and workflows within Palantir Foundry and Palantir Architecture.
Collaborate with cross-functional teams to execute on Data Engineering Execution Platform (DEEP) initiatives.
Implement robust data integration, transformation, and analytics pipelines using PySpark and Databricks.
Work on structured and unstructured data storage solutions leveraging MongoDB or other NoSQL databases.
Ensure scalability, security, and performance of data solutions across distributed environments.
Develop reusable data models, templates, and frameworks to support various analytics and reporting needs.
Work closely with analytics and visualization teams ReactJS experience is a plus for building lightweight data presentation components.
Participate in code reviews, technical design discussions, and architecture planning sessions.
Troubleshoot and resolve performance bottlenecks and data quality issues.

Required Skills & Experience:
5+ years of professional experience in Data Engineering.
Strong hands-on experience in Palantir Foundry and Palantir Architecture (MANDATORY).
Expertise in PySpark and Python for large-scale data processing.
Solid experience with Databricks and data pipeline automation.
Proficiency with NoSQL databases (MongoDB preferred).
Strong knowledge of data modeling, ETL design, and distributed data systems.
Excellent problem-solving and analytical skills.
Strong communication and stakeholder management skills.

Good to Have:
Exposure to ReactJS or other front-end frameworks for data visualization.
Experience with Cloud platforms (AWS, Azure, or Google Cloud Platform).
Knowledge of CI/CD, Git, and Agile methodologies.

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