Platform Intelligence Engineer

The Role

Platform Intelligence Engineers are responsible for designing, creating, and maintaining the critical data infrastructure layer that powers decision-making across Palantir. This infrastructure enables teams to understand product usage, stability trends, cost efficiency, value creation, revenue streams, and more.

As an Intelligence Engineer, you will partner with teammates and leaders across the business to address, measure, and evaluate Palantir’s internal strategic and tactical performance. You will develop data pipelines, perform analysis, and operationalize insights that propel the business forward.

Core Responsibilities

• Design and implement enterprise data pipelines in Python
• Develop KPIs, create project plans, and implement pipelines utilizing data engineering best practices
• Monitor pipelines for stability, suggesting and implementing efficiency initiatives
• Partner with engineering, product, and business leaders to understand current user behavior and patterns across Palantir’s platforms
• Own projects end-to-end while communicating milestones and performance with stakeholders
• Create engineering awareness and drive behavior change in the product organization
• Use Palantir’s platform to create data analysis, visualizations, operational applications, and executive dashboards
• Articulate feedback from real-world use to software engineering teams to help improve platform offerings
• Become an expert on foundational data that underpins software development, cost drivers, and internal operations
• Respond to strategic, tactical, and analytical questions regarding data and operations

What We Value

• Experience designing, building, and managing data pipelines
• Ability to independently identify, analyze, and resolve ambiguous issues and self-check work
• Ability to thrive in a dynamic, cross-functional environment
• Entrepreneurial spirit and keen interest in learning new tools and approaches
• Active US Security clearance or eligibility/willingness to obtain one is desirable

What We Require

• Expertise and experience in Python
• Degree in Data Science, Finance, Math, Engineering, Computer Science, or related quantitative field
• 3+ years of relevant work experience