Palantir Engineer

Fantom Corporation•Chantilly, VA

1d•Onsite

About The Position

Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth. We are seeking a Palantir Data Engineer to support the development, implementation, and management of enterprise data solutions within the Palantir Foundry platform. This role is responsible for building scalable data pipelines, developing custom applications, integrating external data sources, and supporting mission-critical analytics through modern data engineering practices. The ideal candidate has strong Python development experience, hands-on expertise with the Palantir ecosystem, and the ability to design robust ETL workflows, data models, and user interfaces while collaborating closely with customers and technical teams.

Requirements

Must be fully cleared with a recent polygraph
Must be willing and able to work fully onsite at the location listed in this posting
3–5 years of experience as a Data Engineer, Software Engineer, or similar technical role
Strong programming experience with Python
Hands-on experience with Palantir Foundry
Experience developing data pipelines using Palantir Pipeline Builder
Experience building applications and user interfaces using Palantir Workshop
Experience developing applications using TypeScript
Proficiency with one or more programming languages such as Python, Java, JavaScript, or C++
Experience developing and maintaining ETL workflows and enterprise data pipelines
Experience integrating external systems through REST APIs and processing API data
Strong understanding of XML, YAML, and JSON data formats
Knowledge of structured and unstructured data processing techniques
Understanding of data structures, database technologies, cloud infrastructure, and modern software architecture
Strong analytical, troubleshooting, and problem-solving skills
Excellent written and verbal communication skills with the ability to work directly with customers and stakeholders
Ability to translate operational requirements into technical solutions with minimal supervision

Nice To Haves

Experience developing enterprise applications within the Palantir ecosystem
Experience supporting large-scale data engineering and analytics platforms
Familiarity with cloud-native architectures and enterprise cloud environments
Experience with SQL and relational database technologies
Experience with version control systems such as Git
Experience with CI/CD pipelines and DevOps best practices
Experience supporting data governance, lineage, and metadata management initiatives
Familiarity with Agile software development methodologies
Experience supporting secure or classified environments

Responsibilities

Design, develop, and maintain data transformation pipelines using Palantir Foundry and related platform capabilities
Build and manage workflows, data pipelines, and application configurations within the Palantir environment
Develop and maintain ETL processes for ingesting, transforming, and loading structured and unstructured data from multiple sources
Integrate external systems and data sources through REST APIs and develop code to parse, transform, and process API responses
Design and develop custom Palantir Workshop applications and user interfaces using TypeScript
Collaborate with stakeholders to gather requirements and translate mission needs into scalable technical solutions
Perform Tier II support by troubleshooting customer issues, identifying root causes, and implementing sustainable solutions
Conduct code reviews and participate in technical design discussions to ensure high-quality software development
Analyze source data and collaborate with Data Scientists and business partners to determine optimal data models and transformation strategies
Develop tools and services that automate data engineering processes and improve operational efficiency
Define and implement complex data workflows supporting enterprise analytics and reporting
Manage data lifecycle activities, including data retention, archival, and deletion policies
Maintain technical documentation including ETL mappings, code documentation, deployment guides, and operational procedures
Support ongoing maintenance, enhancements, and optimization of existing ETL pipelines and data services
Ensure compliance with data governance, security, and enterprise data management standards