Smart IT Frame LLC
Senior Palantir Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Palantir Data Engineer in Houston, TX, with a contract length of unspecified duration. The pay rate is also unspecified. Requires a Bachelor's degree, 5–7+ years in Data Engineering, strong Palantir Foundry experience, and proficiency in Python and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 17, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Greater Houston
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #Agile #Palantir Foundry #GIT #Data Management #AWS (Amazon Web Services) #Data Pipeline #AI (Artificial Intelligence) #Data Modeling #Programming #Security #Data Engineering #Data Science #PySpark #Hadoop #Data Transformations #Deployment #Azure #TypeScript #Metadata #Datasets #Python #Scrum #Mathematics #Data Quality #REST (Representational State Transfer) #SQL (Structured Query Language) #Computer Science #REST API #Data Governance #Scala
Role description
Job Title: Senior Palantir Data Engineer
Location: Houston, TX (Onsite)
Contract
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related quantitative field (or equivalent practical experience).
• 5–7+ years of experience in Data Engineering.
• Strong hands-on experience with Palantir Foundry.
• Expertise in:
• Ontology Manager
• Data Modeling
• Data Pipelines
• Pipeline Builder
• Workshop
• Quiver
• Contour
• Strong programming skills in:
• Python
• SQL
• PySpark/Spark
• TypeScript (preferred)
• Experience building scalable ETL/ELT pipelines.
• Understanding of data governance, data quality, and metadata management.
• Experience working in Agile/Scrum teams.
• Strong analytical and communication skills.
Key Responsibilities
• Design, develop, and maintain data pipelines in Palantir Foundry.
• Build and maintain Ontology models for enterprise applications.
• Integrate data from multiple internal and external systems.
• Optimize pipeline performance and data transformations.
• Develop reusable data models and datasets.
• Build operational dashboards and applications using Foundry tools.
• Ensure data quality, security, and governance.
• Collaborate with business stakeholders to translate requirements into technical solutions.
• Support production deployments and troubleshoot pipeline issues.
Preferred Skills
Experience with:
• AWS, Azure, or GCP
• Hadoop ecosystem
• Spark
• REST APIs
• Git
• CI/CD
• Exposure to Palantir AIP (Artificial Intelligence Platform).
• Experience with Foundry application development.
• Knowledge of machine learning workflows is a plus
Job Title: Senior Palantir Data Engineer
Location: Houston, TX (Onsite)
Contract
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related quantitative field (or equivalent practical experience).
• 5–7+ years of experience in Data Engineering.
• Strong hands-on experience with Palantir Foundry.
• Expertise in:
• Ontology Manager
• Data Modeling
• Data Pipelines
• Pipeline Builder
• Workshop
• Quiver
• Contour
• Strong programming skills in:
• Python
• SQL
• PySpark/Spark
• TypeScript (preferred)
• Experience building scalable ETL/ELT pipelines.
• Understanding of data governance, data quality, and metadata management.
• Experience working in Agile/Scrum teams.
• Strong analytical and communication skills.
Key Responsibilities
• Design, develop, and maintain data pipelines in Palantir Foundry.
• Build and maintain Ontology models for enterprise applications.
• Integrate data from multiple internal and external systems.
• Optimize pipeline performance and data transformations.
• Develop reusable data models and datasets.
• Build operational dashboards and applications using Foundry tools.
• Ensure data quality, security, and governance.
• Collaborate with business stakeholders to translate requirements into technical solutions.
• Support production deployments and troubleshoot pipeline issues.
Preferred Skills
Experience with:
• AWS, Azure, or GCP
• Hadoop ecosystem
• Spark
• REST APIs
• Git
• CI/CD
• Exposure to Palantir AIP (Artificial Intelligence Platform).
• Experience with Foundry application development.
• Knowledge of machine learning workflows is a plus
