# Platform Intelligence Engineer

**Company:** [Palantir](https://hotfix.jobs/companies/palantir)
**Location:** New York, NY
**Role:** DevOps / SRE
**Experience:** 3+ years
**Skills:** Python, Data Pipelines, Palantir Platform, Data Engineering, KPIs, Data Analysis, Visualizations, Dashboards, Cloud Utilization, Cost Optimization
**Posted:** 2025-12-15

> Designs and maintains data infrastructure and pipelines to power Palantir's internal decision-making on product usage, stability, costs, and revenue. Partners cross-functionally to analyze data and deliver executive insights using Python and Palantir's platform. Requires 3+ years experience and quantitative degree.

## Job Description

## 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

## 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

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