Palantir Data Engineer

We are seeking a talented Data Engineer to join our team and work on an existing Palantir deployment. Job Title: Palantir Data Engineer (Remote) Duration: • 6 months for contract positions with extension or perm option Eligibility: • U.S. Citizens only Responsibilities: • Data Engineering: Design, develop, and maintain data pipelines within the Palantir platform. • Data Transformation and Analysis: Write efficient SQL queries and leverage Python and PySpark to transform and analyze large datasets. • Data Visualization: Work with existing visualizations within the Palantir platform, potentially enhancing or creating new ones. • Code Management: Contribute to the code repository, ensuring code quality and maintainability. • Project Support: Assist with the ongoing maintenance and optimization of existing Palantir use cases. • Future Projects: Contribute to the development of additional projects, including potential work in Supply Chain Management (SCM) and Estimate at Completion (EAC) analysis. • Ontology Optimization: Refactor and optimize existing ontologies. • Data Pipeline Management: Manage and optimize data pipelines, including external data sources. • Scheduled Job Optimization: Analyze and resolve scheduling conflicts within existing scheduled jobs. • Advisory Role: Provide seasoned advisory and leadership in Palantir, addressing the client's lack of Palantir knowledge and ensuring best practices. Required Skills: • Core Skills:Strong proficiency in SQL and Python programming languages. • Hands-on experience with data warehousing and data lakes. • Key Skills:Experience with big data processing frameworks like Apache Spark and PySpark. • Familiarity with data visualization tools and techniques. • Understanding of data modeling and data warehousing concepts. • Experience with Snowflake and Databricks. • Code repository experience. Preferred Skills: • Experience with Palantir Foundry and its components (Gotham, Foundry, Foundry Virtual). • Knowledge of cloud platforms (AWS, Azure, GCP). • Experience with machine learning and data science. • Former Palantir employees. • SAP experience. Team Environment: • Collaborative environment involving multiple parties. • Total team size: 40-60 people. • Candidates must be able to work independently and collaboratively. • Candidates must be politically aware. • Consultants will act as independent advisors to ensure the client's best interests.