Palantir Platform Engineer
About the job
- An active Top Secret/Sensitive Compartmented Information clearance with polygraph is required.
- A bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or equivalent practical experience, is required.
- Hands-on experience with Palantir Foundry and its data integration capabilities is required.
- Strong understanding of ontology and data ontology, including data modeling, relationships, and integration, is required.
- Demonstrated experience designing, developing, and integrating complex extract, transform, and load (ETL) pipelines is required.
- Proficiency in Python and PySpark for data engineering, automation, and large-scale data processing is required.
- Experience implementing logging, monitoring, and observability solutions for data pipelines and enterprise platforms is required.
- Knowledge of data governance principles, including data quality, integrity, security, and lifecycle management, is required.
- Familiarity with DevOps methodologies, continuous integration and continuous delivery (CI/CD) pipelines, automation, and deployment processes is required.
- Experience leveraging artificial intelligence or machine learning technologies to enhance and optimize data processing workflows is required.
- Strong understanding of data validation, transformation, and quality assurance practices is required.
- Experience troubleshooting complex data integration issues and optimizing pipeline performance is required.
- Ability to collaborate effectively with technical teams and stakeholders in a fast-paced environment is required.
- Design, develop, and maintain scalable ETL pipelines within the Palantir Foundry environment.
- Integrate custom ETL conditioners with Palantir tooling to streamline data ingestion, transformation, and processing.
- Develop and optimize data pipelines using Python and PySpark to support large-scale data processing.
- Implement and maintain data ontology models to support structured data relationships, integration, and accessibility.
- Establish logging, monitoring, and observability solutions to provide end-to-end visibility into data transformation workflows.
- Leverage AI and automation technologies to improve pipeline efficiency, accelerate data conditioning, and optimize processing performance.
- Implement data governance standards and best practices to ensure data integrity, consistency, security, and compliance.
- Develop and execute data validation processes to ensure the accuracy, completeness, and reliability of data products.
- Support the integration of validated data products into advanced analytics platforms and data exploitation tools.
- Apply DevOps principles to automate deployments, streamline development workflows, and maintain reliable production environments.
- Identify and troubleshoot pipeline failures, data quality issues, and performance bottlenecks.
- Collaborate with data engineers, software developers, analysts, and stakeholders to translate business and technical requirements into scalable data solutions.
- Develop technical documentation covering data pipelines, ontology models, system integrations, and operational procedures.
- Continuously evaluate emerging technologies and methodologies to improve data engineering capabilities and platform performance.
About the company
1) What VTG does: VTG provides defense and intelligence services with a focus on force modernization, digital transformation, aerospace and naval engineering, and cyber capabilities across a unified enterprise. 2) How its products work: It builds end-to-end capabilities by integrating specialized firms and services (engineering, IT, cyber, logistics) through acquisitions to deliver modernization and transformation for defense and intelligence customers. 3) How it differs from competitors: It operates as a single, cohesive organization after consolidating disparate units and growing through targeted acquisitions to expand its expertise in intelligence, cyber, and defense modernization rather than offering fragmented offerings. 4) What its goal is: To expand its footprint in the intelligence community and cyber domain while continuing defense modernization for government customers, supported by strategic growth and acquisitions.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
N/A
Headquarters
Lenoir, North Carolina
Founded
1866
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Simplify's Take
What believers are saying
- VTG's sixth 2025 acquisition, Miklos Systems, deepens Intelligence Community software and cloud.
- VTG won DoDIAC Pool 1 access in February 2025 for defense R&D.
- More than 35% of VTG business now comes from Intelligence Community solutions.
What critics are saying
- VTG's 2025 acquisition spree strains integration, systems, and culture across seven businesses.
- VTG relies on federal contracts; one NAVSEA protest or recompete hits revenue in 2026.
- Booz Allen and Leidos bundle similar IC services, threatening VTG's niche outright.
What makes VTG unique
- John Hassoun turned VTG into a defense roll-up spanning IC, cyber, and naval engineering.
- VTG won NAVSEA's five-year $130 million warfare systems engineering prime in May 2024.
- VTG bought Triaplex, Miklos, Byte, iota IT, Tunuva, Loki, and Clear Cloud.
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Benefits
- Hybrid Work Options
- Flexible Work Hours