

Palantir Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Palantir Data Engineer in Denver, CO or Houston, TX, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include SQL, Python, Spark, Hadoop, and Palantir Foundry experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
September 17, 2025
π - Project duration
Unknown
-
ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Houston, TX
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π§ - Skills detailed
#TypeScript #Hadoop #Data Pipeline #SQL (Structured Query Language) #Data Engineering #Palantir Foundry #PySpark #Spark (Apache Spark) #Scala #Data Processing #Data Quality #Python #Data Transformations #"ETL (Extract #Transform #Load)"
Role description
Job Title: Palantir Data Engineer
Job Location: Denver, CO or Houston, TX (Onsite)
β’
β’ Job Summary:
β’
β’ Seeking a skilled Data Engineer proficient in SQL, Python, Spark, and Hadoop to design and optimize scalable data solutions within the Palantir Foundry environment.
β’
β’ Job Description:
β’
β’ Must have strong knowledge of SQL, Python, Spark, and Hadoop.
Experience with Python, Spark, and TypeScript for data processing and application development.
Optimize performance of data transformations and analytical queries.
Collaborate with cross-functional teams to understand business requirements and translate them into effective data solutions.
Familiarity with designing and implementing scalable data pipelines and workflows using Palantir Foundry.
Working knowledge of Palantir modules such as Contour, Quiver, Vertex, and app development.
Develop and maintain data models, ontology layers, and operational dashboards.
Ensure data quality, integrity, and governance across all Palantir-based solutions.
Stay updated with Palantir platform updates and best practices.
β’
β’ Desired Skills Include:
β’
β’ - Workshop level 4
- Quiver level 4
- AIP level 3
- Pipeline Builder level 3
- Code Repository level 3
- PySpark level 3
- Ontology level 3
β’
β’ Roles and Responsibilities:
β’
β’ - Design, develop, and optimize scalable data pipelines and workflows.
- Collaborate with stakeholders to gather and analyze business requirements.
- Translate business needs into technical data solutions leveraging Palantir Foundry.
- Maintain and enhance data models, ontology layers, and dashboards to support analytics.
- Monitor and improve data quality, integrity, and governance standards.
- Utilize modules like Contour, Quiver, and Vertex for application development.
- Participate in code repository management and pipeline building activities.
- Continuously update skills and knowledge on Palantir platform features and best practices.
Job Title: Palantir Data Engineer
Job Location: Denver, CO or Houston, TX (Onsite)
β’
β’ Job Summary:
β’
β’ Seeking a skilled Data Engineer proficient in SQL, Python, Spark, and Hadoop to design and optimize scalable data solutions within the Palantir Foundry environment.
β’
β’ Job Description:
β’
β’ Must have strong knowledge of SQL, Python, Spark, and Hadoop.
Experience with Python, Spark, and TypeScript for data processing and application development.
Optimize performance of data transformations and analytical queries.
Collaborate with cross-functional teams to understand business requirements and translate them into effective data solutions.
Familiarity with designing and implementing scalable data pipelines and workflows using Palantir Foundry.
Working knowledge of Palantir modules such as Contour, Quiver, Vertex, and app development.
Develop and maintain data models, ontology layers, and operational dashboards.
Ensure data quality, integrity, and governance across all Palantir-based solutions.
Stay updated with Palantir platform updates and best practices.
β’
β’ Desired Skills Include:
β’
β’ - Workshop level 4
- Quiver level 4
- AIP level 3
- Pipeline Builder level 3
- Code Repository level 3
- PySpark level 3
- Ontology level 3
β’
β’ Roles and Responsibilities:
β’
β’ - Design, develop, and optimize scalable data pipelines and workflows.
- Collaborate with stakeholders to gather and analyze business requirements.
- Translate business needs into technical data solutions leveraging Palantir Foundry.
- Maintain and enhance data models, ontology layers, and dashboards to support analytics.
- Monitor and improve data quality, integrity, and governance standards.
- Utilize modules like Contour, Quiver, and Vertex for application development.
- Participate in code repository management and pipeline building activities.
- Continuously update skills and knowledge on Palantir platform features and best practices.