Themesoft Inc.
Palantir Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Palantir Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include advanced proficiency in Python, PySpark, SQL, and significant experience with Palantir Foundry and big data technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Pipeline #"ETL (Extract #Transform #Load)" #Palantir Foundry #Data Analysis #Scala #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Data Science #AWS (Amazon Web Services) #Data Integrity #Big Data #Spark (Apache Spark) #Data Engineering #PySpark #Python #Azure #Cloud #Agile #Data Quality
Role description
Data engineers at Palantir focus on building and optimizing data pipelines within the Palantir Foundry platform.
Design and implement scalable ETL/ELT pipelines using Foundry's tools and code repositories.
Use Python, PySpark, and SQL to ingest, transform, and manage large-scale data from diverse sources.
Collaborate with data scientists and analytics teams to create data models (ontologies), ensuring data quality and governance.
Perform data analysis, validation, and optimization to ensure data integrity and pipeline performance.
Qualifications:
Significant hands-on experience with Palantir Foundry. 5 to 7 Years of relevant experience in Palantir Foundry.
Advanced skills in Python, PySpark, and SQL.
Experience with big data technologies, cloud platforms (AWS, Azure, GCP), and agile methodologies.
Strong analytical thinking and problem-solving abilities.
Thank you
Vinod
vinod@themesoft.com
Data engineers at Palantir focus on building and optimizing data pipelines within the Palantir Foundry platform.
Design and implement scalable ETL/ELT pipelines using Foundry's tools and code repositories.
Use Python, PySpark, and SQL to ingest, transform, and manage large-scale data from diverse sources.
Collaborate with data scientists and analytics teams to create data models (ontologies), ensuring data quality and governance.
Perform data analysis, validation, and optimization to ensure data integrity and pipeline performance.
Qualifications:
Significant hands-on experience with Palantir Foundry. 5 to 7 Years of relevant experience in Palantir Foundry.
Advanced skills in Python, PySpark, and SQL.
Experience with big data technologies, cloud platforms (AWS, Azure, GCP), and agile methodologies.
Strong analytical thinking and problem-solving abilities.
Thank you
Vinod
vinod@themesoft.com
