Data Engineer (Ex. Palantir)

Position : Data Engineer (Looking for ex Palantir) Location : Dallas, TX Candidate should have past Palantir client exp. JD- Data Integration & ETL: Build and manage scalable data pipelines to ingest data from diverse sources (ERP, CRM, APIs, S3, SQL databases) into Foundry. • Ontology Modeling: Define and maintain the "Ontology"—the platform’s semantic layer—which maps technical data to real-world business objects (e.g., "Aircraft," "Customer," or "Invoice"). • Pipeline Development: Write and optimize data transformations using PySpark, SQL, or Java within Foundry's Code Repositories. • Application Building: Develop front-end operational applications and interactive dashboards using low-code/pro-code tools like Workshop and Slate. • AIP Integration: Implement Artificial Intelligence Platform (AIP) features, such as LLM-backed functions and agents, to automate workflows. • Data Governance & Security: Configure granular access controls, data health monitors, and lineage tracking to ensure compliance and reliability. ## Core Technical Skills • Languages: High proficiency in Python (PySpark) and SQL is mandatory. Knowledge of Java, TypeScript, or JavaScript is often required for front-end customization. • Big Data: Understanding of distributed computing (Spark), data warehousing concepts, and schema design (Star, Snowflake, etc.). • DevOps: Experience with Git-based version control, CI/CD practices, and debugging complex data workflows. • Cloud Architecture: Familiarity with AWS, Azure, or GCP environments where Foundry is typically hosted.