Platform Engineer

Vosper Thornycroft Group; Herndon (VA); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Vosper Thornycroft Group is seeking a Platform Engineer to design, build, and optimize ETL data pipelines within the Palantir ecosystem. You will integrate custom ETL conditioners, leverage PySpark and Python, and ensure observability and governance across complex datasets.

The role emphasizes end-to-end data transformation, AI augmentation, DevOps collaboration, and cross-functional delivery of reliable data products for advanced analytics.

Qualifications

• Active TS/SCI with Polygraph
• Bachelor's degree or equivalent practical experience in a technical field
• Experience with Palantir Foundry
• Strong understanding of Ontology and Data Ontology
• Demonstrated experience designing, building, and integrating ETL pipelines
• Proficiency with PySpark and Python
• Experience implementing logging and monitoring solutions
• Knowledge of data governance best practices
• Familiarity with DevOps methodologies
• Experience leveraging AI to augment data pipelines
• Strong data validation and data quality assurance experience
• Experience working with large or complex datasets and data transformation workflows

Responsibilities

• Design, develop, and maintain scalable ETL data pipelines within the Palantir ecosystem.
• Connect custom ETL conditioners and workflows to Palantir tooling.
• Develop data transformation and conditioning solutions using PySpark and Python.
• Work with Palantir Foundry and ontology models to organize, integrate, and manage complex datasets.
• Implement logging, monitoring, and observability capabilities across data pipelines.
• Provide stakeholders with end-to-end visibility into data transformation and conditioning processes.
• Leverage AI capabilities to augment data pipelines and improve processing speed and efficiency.
• Apply data governance best practices throughout the data lifecycle.
• Perform validation and quality assurance of data products to ensure accuracy and readiness for downstream use.
• Integrate validated data products into advanced analytics and data exploitation tools.
• Support deployment and operational activities using DevOps methodologies and practices.
• Collaborate with cross-functional engineering, data, and stakeholder teams to deliver reliable data products.
• Identify opportunities to improve data conditioning, pipeline performance, scalability, and observability

Skills

PySpark

Python

ETL pipelines

Data observability

AI in data pipelines

DevOps

Education

Bachelor's degree in Computer Science, Engineering, Finance, or related field

Tools

Palantir Foundry

Ontology management

Job description

Overview

VTG is seeking a Platform Engineer to support the design, integration, and optimization of data pipelines within the Palantir ecosystem. This role will focus on integrating custom ETL workflows with Palantir tooling, improving data observability, accelerating data conditioning, and ensuring stakeholders have end-to-end visibility into data transformation processes.

What will you do?

• Design, develop, and maintain scalable ETL data pipelines within the Palantir ecosystem.
• Connect custom ETL conditioners and workflows to Palantir tooling.
• Develop data transformation and conditioning solutions using PySpark and Python.
• Work with Palantir Foundry and ontology models to organize, integrate, and manage complex datasets.
• Implement logging, monitoring, and observability capabilities across data pipelines.
• Provide stakeholders with end-to-end visibility into data transformation and conditioning processes.
• Leverage AI capabilities to augment data pipelines and improve processing speed and efficiency.
• Apply data governance best practices throughout the data lifecycle.
• Perform validation and quality assurance of data products to ensure accuracy, reliability, and readiness for downstream use.
• Integrate validated data products into advanced analytics and data exploitation tools.
• Support deployment and operational activities using DevOps methodologies and practices.
• Collaborate with cross-functional engineering, data, and stakeholder teams to deliver reliable and actionable data products.
• Identify opportunities to improve data conditioning, pipeline performance, scalability, and observability.

Do you have what it takes?

• Active TS/SCI W/ Polygraph required.
• Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or equivalent practical experience
• Experience with Palantir Foundry.
• Strong understanding of Ontology and Data Ontology.
• Demonstrated experience designing, building, and integrating ETL pipelines.
• Proficiency with PySpark and Python.
• Experience implementing logging and monitoring solutions.
• Knowledge of data governance best practices.
• Familiarity with DevOps methodologies.
• Experience leveraging AI to augment or optimize data pipelines.
• Strong experience with data validation and data quality assurance.
• Experience working with large or complex datasets and data transformation workflows.