[Remote] Mid-Level Data Platform Engineer (Python) – Palantir Foundry / Jupiter Platform Support (Secret Cleared)
Note: The job is a remote job and is open to candidates in USA. Redhawk Administrative Services (RAS) is seeking a Mid-Level Data Platform Engineer to support the development and operation of a modern data environment for Navy financial management initiatives. The role involves building and maintaining data pipelines and transformation processes within Palantir Foundry and the Jupiter data platform.
Responsibilities
- Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupiter platform
- Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets
- Implement transformation logic to prepare raw datasets for curated data layers and ontology population
- Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring
- Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability
- Maintain dataset lineage awareness and support platform data integrity practices
- Assist with integrating enterprise system data into the platform environment
- Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly
- Document pipelines and transformation logic to support maintainability of the platform
Skills
- Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field, or equivalent experience
- 4–7 years experience in data engineering or platform engineering roles
- Experience developing Python-based data pipelines
- Experience building ETL/ELT pipelines and data transformation workflows
- Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments
- Strong Python development skills for data processing and pipeline development
- Experience with SQL and data transformation frameworks
- Familiarity with distributed data platforms and large-scale data environments
- Strong troubleshooting and problem-solving skills in data pipeline operations
- Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders
- Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.)
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