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Mid-Level Data Platform Engineer (Python) - Palantir Foundry / Jupiter Platform Support Location ... Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability.
Washington, DC · Remote
Mid-Level Data Platform Engineer (Python) - Palantir Foundry / Jupiter Platform Support Location ... Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability.
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About the job Platform Engineer Role: Platform Engineer Type: Contract Duration: 6 - 12 Months ... Expertise in data warehousing and data lake concepts * Deep understanding of and experience with ...
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$44.5K - $56.6K
0% of jobs
$56.6K - $68.7K
1% of jobs
$68.7K - $80.8K
3% of jobs
$80.8K - $92.9K
4% of jobs
$92.9K - $105K
7% of jobs
$115.5K is the 25th percentile. Wages below this are outliers.
$105K - $117K
11% of jobs
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12% of jobs
The median wage is $132.4K / yr.
$129.1K - $141.2K
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$129.7K
$177.5K
| Aspect | Live In Data Platform Engineer | Data Engineer |
|---|---|---|
| Credentials | Bachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCP | Bachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop |
| Work Environment | On-site/live-in setup, often in remote or rural locations, supporting real-time data systems | Office-based or remote, focusing on data pipeline development and management |
| Industry Usage | Used in industries requiring constant on-site data monitoring, such as energy or remote facilities | Common across tech, finance, healthcare, and other sectors for data infrastructure |
The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.
Washington, DC • Remote
Full-time
Posted 6 days ago
Position Title: Mid-Level Data Platform Engineer (Python) - Palantir Foundry / Jupiter Platform Support
Location: National Capital Region (Remote Eligible)
Job Type: Full Time
Level: Mid-Level Analyst
Clearance: Secret
Job Summary
The Mid-Level Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupiter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications.
Key Responsibilities
Data Pipeline Development:
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.
Data Platform Operations:
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.
Data Integration and Support:
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.
Qualifications
Education:
Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field, or equivalent experience.
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
Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred
Skills:
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
Career Level Alignment:
Mid-Level Engineer: 4-7 years supporting data platform engineering, pipeline development, and enterprise data integration initiatives.
#ClearanceJobs
Redhawk Administrative Services, LLC is an equal opportunity employer. Redhawk Administrative Services, LLC does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, marital status or any other characteristic protected by law.
Employment Type: full-time
