Senior Data Engineer with Palantir Foundry & AIP Exp

Technical Skills 
• Palantir Foundry: Python Transforms, Pipeline Lineage, Schedules, Ontology Object design, 
Foundry Rules (Java), Media Sets. 
• Palantir AIP: AIP Logic, AIP Automations, LLM integration basics, AIP Evals familiarity. 
• Data Engineering: Data ingestion pipelines, schema management, Spark-based compute, 
incremental builds. 
• Integration: Salesforce, Snowflake, REST APIs, CDO data connection patterns. 
• Languages: Python (strong), Java (Foundry Rules), SQL (strong); C# or TypeScript a plus. 
• DevOps: Docker, Git branching, CI/CD for Foundry repositories, code review workflows. 
Experience 
• 5–7 years of total experience in software engineering, data engineering, or platform 
development. 
• 2+ years of hands-on experience with Palantir Foundry in production environments, including 
pipeline ownership. 
• Experience leading small engineering teams (3–6 people) in agile delivery environments. 
• Proven ability to support and troubleshoot complex data platforms in a Day-2 support capacity. 
• Experience with Salesforce or Snowflake integrations in enterprise settings preferred. 
Preferred Qualifications 
• Experience with AI-powered document processing pipelines (OCR, PDF/Docx to Markdown, 
LLM-based extraction). 
• Familiarity with Palantir AIP Evals, LLM-as-a-judge frameworks, and confidence scoring for AI 
outputs. 
• Knowledge of Foundry Rules Java pipeline patterns, including .addObjectRid, .addLinkRid, and 
MaterializeOntologyObject patterns. 
• Exposure to Campaign Lifecycle Management, lead management, or sales operations 
platforms. 
• Understanding computing modules, OpenXML SDK, or other programmatic document 
generation approaches.