Core Responsibilities

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

What We Require

Expertise and experience in Python
Degree in Data Science, Finance, Math, Engineering, Computer Science or other similar quantitative fields
3+ years of relevant work experience

Experience with designing, building, and managing data pipelines
Ability and desire to independently identify, analyze, and resolve ambiguous issues and self-check work
Ability to thrive in a dynamic and changing environment, collaborating and working cross-functionally across teams
Entrepreneurial spirit - always thinking about how data, process, views, understanding can be improved
Keen interest in learning new tools and approaches to problems
Love for bringing order to ambiguity
Active US Security clearance or eligibility and willingness to obtain a US Security clearance is desirable