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," offering a pay rate of "unknown." Candidates should have 9+ years of experience, proficiency in Palantir Foundry, strong programming skills, and industry experience in logistics, defense, or energy.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas-Fort Worth Metroplex
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🧠 - Skills detailed
#Big Data #Linux #Deployment #Cloud #Scala #Spark (Apache Spark) #Programming #ML (Machine Learning) #Data Engineering #ML Ops (Machine Learning Operations) #Monitoring #Palantir Foundry #Unix #Python #Data Science #Computer Science #Java #AI (Artificial Intelligence)
Role description
Qualifications
• 9+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
• 9+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.
