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# Palantir Platform Engineer

- **Company:** GRVTY, LLC
- **Location:** Herndon, VA, United States
- **Salary:** $150,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Data Validation, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, DevOps, Python (Programming Language), Data Streaming, Systems Integration, Data Logging, Palantir Foundry, Pyspark, Tools for Reporting, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9241584/palantir-platform-engineer

## About the Role

* Active TS/SCI with Polygraph Clearance
 * Experience with Palantir Foundry
 * Strong understanding of Ontology and Data Ontology
 * Expertise in building and integrating ETL Pipelines
 * Proficiency in PySpark and Python
 * Experience with Logging and Monitoring solutions
 * Knowledge of Data Governance best practices
 * Familiarity with DevOps methodologies
 * Experience leveraging AI to augment data pipelines
 * Strong skills in Validation of data products

What Would Be Nice to Have

 * Experience connecting ETL conditioners to Palantir tooling
 * Background in increasing observability and accelerating data conditioning
 * Experience ensuring end-to-end insight into data transformation processes
 * Familiarity with integrating validated products into analytics tools for data exploitation

## Description

GRVTY is seeking a Palantir Platform Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Herndon, VA. As a Palantir Platform Engineer, you will play a pivotal role in integrating custom ETL workflows within the Palantir ecosystem. Your responsibilities will include connecting ETL conditioners to Palantir tooling, which enhances observability and accelerates data conditioning efforts. You will ensure that stakeholders maintain comprehensive insight into each phase of the transformation process, leveraging your expertise in data ontology, logging, and monitoring. Utilizing your skills in PySpark and Python, you will design and implement robust data pipelines that support seamless data flow and transformation.In this position, you will also harness AI to augment and optimize data pipelines, driving greater speed and efficiency in processing large datasets. Your focus on data governance and validation will be essential as you prepare
products for integration into advanced analytics tools, ensuring data quality and reliability. Experience with DevOps practices will be valuable as you manage deployment and operational aspects of the platform, while your familiarity with Palantir Foundry and ontology modeling will help you navigate complex data environments. Success in this role will be supported by a strong background in building scalable ETL solutions, implementing monitoring frameworks, and collaborating with cross-functional teams to deliver actionable data insights.