Palantir Data Engineer

Summary: We are looking for a skilled Palantir Data Engineer to join our data and AI team, focusing on designing and deploying scalable data pipelines and machine learning models using Palantir Foundry. The role involves close collaboration with stakeholders to optimize workflows and enable AI-driven decisions across various critical functions. The position is remote and emphasizes the integration of data and the application of advanced data engineering techniques. Candidates should have significant experience in data engineering and proficiency with Palantir Foundry.

Key Responsibilities:

• Build and maintain data pipelines and workflows in Palantir Foundry, integrating structured and unstructured data.
• Develop and manage ontology models and object logic within Foundry to align with business use cases.
• Design, train, and deploy ML models for classification, optimization, and forecasting use cases.
• Apply feature engineering, data cleaning, and modeling techniques using Python, Spark, and ML libraries.
• Support model deployment, monitoring, and ML Ops using tools like MLflow and Databricks.
• Create dashboards and data applications using Slate or Streamlit to enable operational decision-making.
• Implement generative AI use cases using large language models (GPT-4, Claude, Cohere) and Retrieval-Augmented Generation (RAG).
• Collaborate with data scientists, engineers, and product owners to deliver end-to-end data solutions.
• Work directly with clients to define data requirements and guide platform enablement.
• Support agile project delivery and provide ongoing platform optimization post-deployment.

Key Skills:

• 5+ years 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.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT