Description
Palantir Data Engineer / Analytics Specialist
Overview
There is a growing global demand for professionals with deep expertise in Palantir platforms, particularly within government, defense, and large enterprise environments. This is a niche but rapidly expanding market, with organizations seeking skilled practitioners who can design, build, and operationalize data-driven solutions at scale.
This role focuses on leveraging Palantir technologies to enable advanced analytics, data integration, and decision intelligence across complex data ecosystems.
Key Responsibilities
- Design, build, and maintain scalable data pipelines using Palantir platforms (e.g., Foundry, Gotham)
- Integrate structured and unstructured data from multiple sources into unified data models
- Develop data transformations, workflows, and analytics to support operational and strategic use cases
- Collaborate with stakeholders to translate business and mission requirements into technical solutions
- Ensure data quality, security, and governance best practices are followed
- Support deployment and optimization of analytics solutions in production environments
Required Skills & Experience
- Hands-on experience with Palantir Foundry and/or Gotham
- Strong background in data engineering and data analytics
- Proficiency with SQL, Python, and data pipeline development
- Experience working with large-scale, complex datasets
- Understanding of data modeling, ETL/ELT processes, and analytics frameworks
Preferred Qualifications
- Experience supporting government, defense, or highly regulated enterprise environments
- Familiarity with cloud platforms and distributed data systems
- Exposure to advanced analytics, AI/ML workflows, or operational intelligence use cases
- Security clearance may be required, depending on the engagement
Why This Role
- Opportunity to work in a high-growth, specialized technology domain
- Exposure to mission-critical and enterprise-scale data initiatives
- Strong demand and long-term career potential as Palantir adoption expands globally





