Data Engineer

Palantir builds the world's leading software for data-driven decisions and operations, enabling partners to develop lifesaving drugs, forecast supply chain disruptions, and locate missing children.
Data
Entry-Level Software Engineer
Hybrid
1+ year of experience
Enterprise SaaS

Description For Data Engineer

Palantir is seeking a Data Engineer to join their Product Development Data Applications and Analytics Team (PDAAT). This role is crucial in measuring and evaluating Palantir's internal strategic and tactical performance. You'll analyze cloud utilization, user metrics, stability KPIs, and cost optimizations while supporting developers and product teams.

As a Data Engineer, you'll architect custom KPIs, combine various data sources, and create insights using Palantir's own platforms. You'll build custom applications enabling specific internal workflows and create views driving day-to-day outcomes. The role involves working with teams across Palantir to guide planning and decision-making while balancing various priorities.

The position offers an exciting work environment with multi-functional exposure and the opportunity to impact Palantir's product development, customer satisfaction, and bottom line. You'll work in a dynamic, data-rich environment, collaborating across time zones and managing both team and individual projects.

Palantir values in-person work to foster connectivity and innovation, offering hybrid options for most roles. The company promotes health and well-being across all areas of Palantirians' lives and celebrates individuals' strengths, skills, and interests. They focus on personal growth rather than traditional career ladders, ensuring multiple pathways to success.

The ideal candidate should have a strong analytical background, excellent communication skills, and the ability to work independently. You'll need expertise in Python, SQL, and data manipulation, along with experience in BI tools. This role is perfect for someone who loves solving complex problems, thrives in dynamic environments, and has a passion for data-driven decision making.

Last updated a month ago

Responsibilities For Data Engineer

  • Partner with team members to understand user behavior and patterns across platform
  • Develop KPIs, create project plans, implement Pipelines and design user interfaces
  • Monitor pipelines for stability and suggest efficiency initiatives
  • Own projects end-to-end while communicating with stakeholders
  • Create engineering awareness and drive behaviour change in the product organisation
  • Use Palantir's platform to create data analysis and supporting visualizations
  • Create custom applications and executive dashboards
  • Provide feedback to improve Palantir's overall offerings
  • Become an expert on foundational data that underpins Palantir's software development
  • Respond to strategic, tactical, and analytical questions about data and operations

Requirements For Data Engineer

Python
  • Degree in Data Science, Finance, Maths, Engineering, Computer Science, Economics, Business or other quantitative fields
  • 1 - 3 years of experience in a data analytical role
  • Expertise and experience in Python and manipulation of data
  • Experience with BI tools, SQL queries, and organizing and analyzing data
  • Ability to independently identify, analyse, and resolve ambiguous issues
  • Ability to thrive in a dynamic and changing environment
  • Experience with Spark is desirable

Benefits For Data Engineer

Medical Insurance
Mental Health Assistance
  • Promoting health and well-being
  • Personal growth opportunities
  • Hybrid work options

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