InfoVision 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 proficiency in Palantir Foundry, programming in Python, Scala, or Java, and experience in logistics, defense, energy, or public sectors.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 22, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dallas-Fort Worth Metroplex
-
🧠 - Skills detailed
#Computer Science #Data Engineering #AI (Artificial Intelligence) #ML Ops (Machine Learning Operations) #Unix #ML (Machine Learning) #Big Data #Python #Cloud #Programming #Monitoring #Spark (Apache Spark) #Deployment #Linux #Data Science #Palantir Foundry #Scala #Java
Role description
Qualifications
• 7+year of experience in data engineering, machine learning, or AI deployment.
• Proficiency with Palantir Foundry (pipelines, code workbooks, ontology modeling).
• Strong programming skills in Python, Scala, or Java; experience with Spark and cloud platforms.
• Hands-on experience with Unix/Linux environments and big data tools.
• Familiarity with ML Ops, model retraining, and monitoring best practices.
• Excellent communication and client engagement skills.
• Experience working in logistics, defense, energy, or public sector industries is a plus.
Education
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. A Master’s degree is preferred.
Qualifications
• 7+year of experience in data engineering, machine learning, or AI deployment.
• Proficiency with Palantir Foundry (pipelines, code workbooks, ontology modeling).
• Strong programming skills in Python, Scala, or Java; experience with Spark and cloud platforms.
• Hands-on experience with Unix/Linux environments and big data tools.
• Familiarity with ML Ops, model retraining, and monitoring best practices.
• Excellent communication and client engagement skills.
• Experience working in logistics, defense, energy, or public sector industries is a plus.
Education
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. A Master’s degree is preferred.
