Description
A Platform Intelligence Engineer is the engine behind Palantir's most strategic and important operations. They design, create, and maintain the critical data infrastructure layer that powers decision-making across the business.
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 keep business outcomes in mind as you develop data pipelines, perform analysis, and work with stakeholders to operationalize insights that propel the business forward. Depending on which team you join, you might analyze cloud utilization, user metrics, stability KPIs, cost optimizations, or even model pricing changes all while ensuring best in class support for our partner teams.
You will use Palantir's platforms, just as Palantir's customers do, to clean and enrich troves of data from disparate sources, allowing you to unlock key insights, create visualizations and custom applications that help drive day-to-day outcomes.
Teams across Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and weighing costs.
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
Salary
The estimated salary range for this position is estimated to be $110,000 - $150,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives.