

Palantir Foundry Consultant
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Palantir Foundry Consultant on a 3-month contract, remote. Requires 3+ years of Palantir Foundry experience, strong data modeling skills, and proficiency in SQL or Python. Experience with cloud platforms and enterprise data integration is preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
September 20, 2025
π - Project duration
3 to 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#AWS (Amazon Web Services) #Palantir Foundry #Data Engineering #SQL (Structured Query Language) #Scripting #Scala #Cloud #"ETL (Extract #Transform #Load)" #Data Architecture #Data Modeling #Azure #Python #GCP (Google Cloud Platform) #Data Pipeline
Role description
Role Title: Palantir Foundry Consultant
Employment Type: Contract
Duration: 3 months to start, with extensions
Preferred Location: Remote
Role Description:
Overview
We are seeking an experienced Palantir Foundry professional to support key analytics initiatives. This role will work closely with our internal team and collaborate directly with Palantir on a series of niche, long-term projects.
Key Responsibilities
β’ Design, build, and optimize data pipelines and workflows within the Palantir Foundry platform.
β’ Develop scalable data models and analytics solutions to support ongoing business objectives.
β’ Partner with cross-functional teams and Palantir stakeholders to implement best practices and deliver actionable insights.
β’ Troubleshoot, monitor, and maintain Foundry applications to ensure high availability and performance.
β’ Document processes, data flows, and technical specifications.
Requirements:
Required Qualifications
β’ 3+ years of hands-on experience with the Palantir Foundry analytics platform.
β’ Strong proficiency in data modeling, data engineering, and analytics within Foundry.
β’ Experience working directly with Palantir or on long-term Palantir-driven projects is highly desirable.
β’ Solid understanding of SQL, Python, or similar scripting languages for data transformation.
β’ Excellent problem-solving and communication skills with the ability to collaborate in a fast-paced environment.
β’
β’ Preferred Skills
β’ Experience integrating Foundry with other enterprise data systems.
β’ Knowledge of cloud platforms (AWS, Azure, or GCP) and modern data architecture.
Role Title: Palantir Foundry Consultant
Employment Type: Contract
Duration: 3 months to start, with extensions
Preferred Location: Remote
Role Description:
Overview
We are seeking an experienced Palantir Foundry professional to support key analytics initiatives. This role will work closely with our internal team and collaborate directly with Palantir on a series of niche, long-term projects.
Key Responsibilities
β’ Design, build, and optimize data pipelines and workflows within the Palantir Foundry platform.
β’ Develop scalable data models and analytics solutions to support ongoing business objectives.
β’ Partner with cross-functional teams and Palantir stakeholders to implement best practices and deliver actionable insights.
β’ Troubleshoot, monitor, and maintain Foundry applications to ensure high availability and performance.
β’ Document processes, data flows, and technical specifications.
Requirements:
Required Qualifications
β’ 3+ years of hands-on experience with the Palantir Foundry analytics platform.
β’ Strong proficiency in data modeling, data engineering, and analytics within Foundry.
β’ Experience working directly with Palantir or on long-term Palantir-driven projects is highly desirable.
β’ Solid understanding of SQL, Python, or similar scripting languages for data transformation.
β’ Excellent problem-solving and communication skills with the ability to collaborate in a fast-paced environment.
β’
β’ Preferred Skills
β’ Experience integrating Foundry with other enterprise data systems.
β’ Knowledge of cloud platforms (AWS, Azure, or GCP) and modern data architecture.