Palantir Platform Engineer

Avalore, LLC • Herndon, VA

2d

About The Position

The Palantir Platform Engineer integrates custom ETL workflows within the Palantir ecosystem. The role connects ETL conditioners to Palantir tooling to improve observability and accelerate data conditioning, while maintaining stakeholder visibility into each phase of data transformation through data ontology, logging, and monitoring. The engineer designs and implements robust data pipelines using PySpark and Python to support data flow and transformation.

The position uses AI to augment and optimize pipelines and supports the processing of large datasets. It focuses on data governance and validation to prepare reliable, high-quality data products for integration with advanced analytics tools. The engineer also manages platform deployment and operations using DevOps practices and applies Palantir Foundry and ontology modeling experience to complex data environments. Success involves building scalable ETL solutions, implementing monitoring frameworks, and collaborating with cross-functional teams to deliver actionable data insights.

The role requires an active security clearance with an appropriate polygraph. The work environment may include moderate office noise or occasional loud noise in locations such as airfields or areas with large equipment. The position involves extended periods at a computer terminal and occasional travel of up to 10%. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Requirements

• Active security clearance with an appropriate polygraph.
• 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 validating data products.

Nice To Haves

• 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.

Responsibilities

• Integrate custom ETL workflows within the Palantir ecosystem.
• Connect ETL conditioners to Palantir tooling to improve observability and accelerate data conditioning.
• Provide stakeholders with insight into each phase of data transformation using ontology, logging, and monitoring.
• Design and implement data pipelines using PySpark and Python.
• Use AI to augment and optimize data pipelines and improve processing speed and efficiency.
• Apply data governance and validation practices to prepare reliable data products for advanced analytics tools.
• Manage platform deployment and operational aspects using DevOps practices.
• Build scalable ETL solutions and monitoring frameworks.
• Collaborate with cross-functional teams to deliver actionable data insights.

Benefits

• Employer contributions to a health care plan, including medical, dental, and vision.
• Retirement plan (401k or IRA) with a matching program.
• Basic, voluntary, and AD&D life insurance.
• Paid time off, including vacation, sick leave, and public holidays.
• Short-term and long-term disability coverage.
• Training and development.
• Employee Assistance Program.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed