

AceStack
Palantir Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Palantir Data Engineer on a remote contract, requiring expertise in Palantir Foundry, Ontology Manager, Tableau, and Alteryx. Key skills include data pipeline development, SQL, Python, and Spark. Experience in data management and analytics is essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
January 14, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Alteryx Designer #Scala #Security #Data Quality #Datasets #BI (Business Intelligence) #Data Management #Data Engineering #Palantir Foundry #Data Science #Data Pipeline #Cloud #Data Transformations #Version Control #Spark (Apache Spark) #SQL (Structured Query Language) #Python #Tableau #"ETL (Extract #Transform #Load)" #Databases #Alteryx #Storage #Deployment
Role description
Role β Palantir Data Engineer
Location β Remote
Contract
Skills - Palantir Foundry, Ontology Manager, Tableau, and Alteryx
Job Description
We are seeking an experienced Palantir Data Engineer with strong expertise in Palantir Foundry, Ontology Manager, Tableau, and Alteryx to design, build, and manage scalable data solutions. The ideal candidate will work closely with business stakeholders, analysts, and data scientists to transform raw data into actionable insights through well-governed data models and analytics platforms.
Key Responsibilities
β’ Design, develop, and maintain data pipelines in Palantir Foundry using Code Repositories, Contour, and Pipeline Builder.
β’ Build and manage Ontology models using Ontology Manager, defining objects, relationships, actions, and metrics aligned to business processes.
β’ Translate complex business requirements into Foundry Ontology-driven data products.
β’ Integrate structured and unstructured data from multiple source systems (databases, APIs, flat files, cloud storage).
β’ Develop and optimize data transformations using SQL, Python, and Spark.
β’ Create analytical datasets and semantic layers for Tableau dashboards and reports.
β’ Develop, automate, and optimize workflows using Alteryx Designer, including data preparation, blending, and analytics.
β’ Ensure data quality, lineage, governance, and security using Foundryβs data management capabilities.
β’ Collaborate with business users and analytics teams to enable self-service BI and advanced analytics.
β’ Monitor pipeline performance and troubleshoot data issues to ensure reliability and scalability.
β’ Support production deployments, version control, and CI/CD best practices within Foundry.
Role β Palantir Data Engineer
Location β Remote
Contract
Skills - Palantir Foundry, Ontology Manager, Tableau, and Alteryx
Job Description
We are seeking an experienced Palantir Data Engineer with strong expertise in Palantir Foundry, Ontology Manager, Tableau, and Alteryx to design, build, and manage scalable data solutions. The ideal candidate will work closely with business stakeholders, analysts, and data scientists to transform raw data into actionable insights through well-governed data models and analytics platforms.
Key Responsibilities
β’ Design, develop, and maintain data pipelines in Palantir Foundry using Code Repositories, Contour, and Pipeline Builder.
β’ Build and manage Ontology models using Ontology Manager, defining objects, relationships, actions, and metrics aligned to business processes.
β’ Translate complex business requirements into Foundry Ontology-driven data products.
β’ Integrate structured and unstructured data from multiple source systems (databases, APIs, flat files, cloud storage).
β’ Develop and optimize data transformations using SQL, Python, and Spark.
β’ Create analytical datasets and semantic layers for Tableau dashboards and reports.
β’ Develop, automate, and optimize workflows using Alteryx Designer, including data preparation, blending, and analytics.
β’ Ensure data quality, lineage, governance, and security using Foundryβs data management capabilities.
β’ Collaborate with business users and analytics teams to enable self-service BI and advanced analytics.
β’ Monitor pipeline performance and troubleshoot data issues to ensure reliability and scalability.
β’ Support production deployments, version control, and CI/CD best practices within Foundry.






