Platform Intelligence Engineer

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 Value

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

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