Palantir Platform Engineer: Scalable Data Pipelines

ADP, Inc.; Herndon (VA); On-site; USD 132,000 - 191,000; Full time

Job summary

NS2 Mission, in Herndon, VA, is seeking a Palantir Platform Engineer to bridge data engineering and platform capabilities within the Palantir Foundry ecosystem. You will design scalable ETL pipelines, integrate with Palantir tooling, and ensure reliable, trusted data products for analytics and exploitation.

The role emphasizes Python/PySpark development, data ontology, observability, and DevOps practices to support large-scale data processing and governance across complex environments.

Qualifications

• Bachelor's degree or equivalent combination of education and experience in a technical discipline.
• Professional experience developing and supporting data engineering or platform engineering solutions.
• Hands-on experience with Palantir Foundry or comparable enterprise data platforms.
• Strong understanding of data ontology and data modeling concepts.
• Demonstrated ability to build, integrate, and maintain ETL pipelines.
• Strong proficiency in Python and PySpark for data processing and pipeline development.
• Experience implementing logging, monitoring, and observability solutions for data or software platforms.
• Understanding of data governance, data quality, and validation practices.
• Familiarity with DevOps methodologies, automated deployment, and operational support.
• Strong analytical and troubleshooting skills across complex data environments.

Responsibilities

• Design, develop, and integrate scalable ETL pipelines within the Palantir Foundry ecosystem.
• Connect custom ETL conditioners and data workflows with Palantir tooling to improve pipeline visibility, monitoring, and operational efficiency.
• Develop data processing solutions using Python and PySpark to support large-scale ingestion, transformation, and conditioning.
• Apply Ontology and Data Ontology concepts to structure, organize, and contextualize data for downstream use.
• Implement logging, monitoring, and observability capabilities that provide insight across data transformation workflows.
• Establish and maintain data validation and quality controls to ensure reliable, trusted data products.
• Apply data governance practices throughout the data lifecycle, from ingestion and transformation through delivery and analytics integration.
• Leverage AI and automation techniques to improve data pipeline performance, efficiency, and scalability.
• Support deployment, configuration, and operational sustainment of data platform capabilities using modern DevOps practices.
• Collaborate with data engineers, platform teams, analysts, and mission stakeholders to translate requirements into effective data solutions.
• Prepare validated data products for integration with analytics and exploitation tools.

Skills

Palantir Foundry

Python

PySpark

ETL Pipelines

Data Ontology

Data Governance

Monitoring

DevOps

Data Modeling

Troubleshooting

Education

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or related field

Tools

Palantir Foundry tooling

Job description

NS2 Mission, in Herndon, VA, is seeking a Palantir Platform Engineer to bridge data engineering and platform capabilities within the Palantir Foundry ecosystem. You will design scalable ETL pipelines, integrate with Palantir tooling, and ensure reliable, trusted data products for analytics and exploitation.

The role emphasizes Python/PySpark development, data ontology, observability, and DevOps practices to support large-scale data processing and governance across complex environments.