Job Requirements
Herndon, VA
Top Secret/SCI Full Scope Polygraph
Career Level not specified
Salary not specified
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Job Description
Opportunity via QSSHire | Talent-as-a-Service Recruiting
Role: Palantir Platform Engineer
Location: Herndon, VA
Clearance: TS/SCI with Full Scope Poly
Rate: Open
Are You a Palantir Platform Engineer Ready to Build Scalable Data Pipelines and Improve Data Operations?
QSSHire is seeking an experienced Palantir Platform Engineer in Herndon, VA, to build and
integrate scalable ETL workflows within the Palantir ecosystem.
In this role, you’ll develop data pipelines, improve observability, and accelerate data
conditioning using Palantir Foundry, PySpark, Python, and AI. You’ll focus on reliable data
transformation, governance, validation, and monitoring while helping prepare high-quality
data products for advanced analytics.
In This Role, You’ll:
• Build and integrate scalable ETL pipelines within the Palantir ecosystem.
• Connect ETL conditioners with Palantir tooling.
• Develop data pipelines using PySpark and Python.
• Work with Palantir Foundry and data ontology models.
• Use AI to enhance and optimize data pipelines.
• Improve observability and accelerate data conditioning processes.
• Implement logging and monitoring to provide visibility into data transformations.
• Apply data governance best practices across data workflows.
• Validate data products to ensure quality and reliability.
• Prepare validated data products for integration with advanced analytics tools.
• Apply DevOps practices to support platform deployment and operations.
• Collaborate with cross-functional teams to deliver reliable and actionable data
solutions.
You’ll Succeed Here If You Have:
• Experience with Palantir Foundry.
• Strong understanding of Ontology and Data Ontology.
• Experience building and integrating ETL pipelines.
• Proficiency with 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 experience with data product validation.
Desired Skills:
• Experience connecting ETL conditioners to Palantir tooling.
• Experience improving observability and accelerating data conditioning.
• Experience providing end-to-end visibility into data transformation processes.
• Familiarity with integrating validated data products into analytics tools for data
exploitation.
Degree Requirements:
• Bachelor’s degree in a related field preferred.
• Relevant years of experience may be considered in lieu of a degree.
Why QSSHire?
As a modern Talent-as-a-Service recruiting partner, QSSHire connects exceptional
professionals with impactful opportunities supporting mission-critical programs. We focus
on aligning specialized expertise with meaningful work while providing transparency,
flexibility, and long-term career growth.
Role: Palantir Platform Engineer
Location: Herndon, VA
Clearance: TS/SCI with Full Scope Poly
Rate: Open
Are You a Palantir Platform Engineer Ready to Build Scalable Data Pipelines and Improve Data Operations?
QSSHire is seeking an experienced Palantir Platform Engineer in Herndon, VA, to build and
integrate scalable ETL workflows within the Palantir ecosystem.
In this role, you’ll develop data pipelines, improve observability, and accelerate data
conditioning using Palantir Foundry, PySpark, Python, and AI. You’ll focus on reliable data
transformation, governance, validation, and monitoring while helping prepare high-quality
data products for advanced analytics.
In This Role, You’ll:
• Build and integrate scalable ETL pipelines within the Palantir ecosystem.
• Connect ETL conditioners with Palantir tooling.
• Develop data pipelines using PySpark and Python.
• Work with Palantir Foundry and data ontology models.
• Use AI to enhance and optimize data pipelines.
• Improve observability and accelerate data conditioning processes.
• Implement logging and monitoring to provide visibility into data transformations.
• Apply data governance best practices across data workflows.
• Validate data products to ensure quality and reliability.
• Prepare validated data products for integration with advanced analytics tools.
• Apply DevOps practices to support platform deployment and operations.
• Collaborate with cross-functional teams to deliver reliable and actionable data
solutions.
You’ll Succeed Here If You Have:
• Experience with Palantir Foundry.
• Strong understanding of Ontology and Data Ontology.
• Experience building and integrating ETL pipelines.
• Proficiency with 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 experience with data product validation.
Desired Skills:
• Experience connecting ETL conditioners to Palantir tooling.
• Experience improving observability and accelerating data conditioning.
• Experience providing end-to-end visibility into data transformation processes.
• Familiarity with integrating validated data products into analytics tools for data
exploitation.
Degree Requirements:
• Bachelor’s degree in a related field preferred.
• Relevant years of experience may be considered in lieu of a degree.
Why QSSHire?
As a modern Talent-as-a-Service recruiting partner, QSSHire connects exceptional
professionals with impactful opportunities supporting mission-critical programs. We focus
on aligning specialized expertise with meaningful work while providing transparency,
flexibility, and long-term career growth.
group id: 91142086
