Palantir Platform Engineer

About the role

This fully on-site role in Herndon, VA requires an active Poly clearance; applicants without one will not be considered. You will connect ETL conditioners to Palantir tooling to enhance observability and accelerate data conditioning, ensuring stakeholders maintain comprehensive insight into each phase of the transformation process. You will design and implement robust data pipelines using PySpark and Python, leverage AI to optimize pipelines, and focus on data governance and validation to prepare products for advanced analytics tools. DevOps practices will support deployment and operations, and familiarity with Palantir Foundry and ontology modeling will help navigate complex data environments.

Responsibilities

• Connect ETL conditioners to Palantir tooling to enhance observability and accelerate data conditioning efforts.
• Ensure stakeholders maintain comprehensive insight into each phase of the transformation process.
• Design and implement robust data pipelines using PySpark and Python to support seamless data flow and transformation.
• Leverage AI to augment and optimize data pipelines, driving greater speed and efficiency in processing large datasets.
• Focus on data governance and validation to prepare products for integration into advanced analytics tools, ensuring data quality and reliability.
• Manage deployment and operational aspects of the platform using DevOps practices.
• Navigate complex data environments using Palantir Foundry and ontology modeling.
• Build scalable ETL solutions and implement monitoring frameworks.
• Collaborate with cross-functional teams to deliver actionable data insights.

Preferred Skills/Experience

• 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.

Desired Skills

• 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.