Palantir
From Palantir's careers page
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The Role Platform Intelligence Engineers are the engine behind Palantir’s most strategic and important operations.
A World-Changing Company
Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.
Platform Intelligence Engineers are the engine behind Palantir’s most strategic and important operations. Engineers are responsible for designing, creating, and maintaining 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.
You are proficient in Python and have experience in a previous or current job writing code on a day-to-day basis. You understand the challenges of finding the right data to answer a problem, cleaning data, and then distilling findings to executive-level insights under extreme time pressure. You are a master data manipulator — able to design systems, implement pipelines, decomp existing codebases, and clearly present findings to leadership.
You are a problem solver who loves gathering information from various sources, analyzing and presenting your recommendations to technical teams, business partners, and Palantir leadership. You are a top-level communicator who thrives in both cross-timezone collaborations as well as individual projects. You feel comfortable working in a data-rich and dynamic environment, putting various pieces of the puzzle together to create a coherent picture.
This position will offer an exciting work environment, wide-ranging exposure, and a chance to create a measurable impact on Palantir’s operations, customer satisfaction and bottom line.
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
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
Degree in Data Science, Finance, Math, Engineering, Computer Science or other similar quantitative fields
3+ years of relevant work experience
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