Data Engineer

A World-Changing Company

Palantir builds the worlds 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.

The Role

As a Data Engineer, you will be a key part of the Product Development Data Applications and Analytics Team (PDAAT) within the Product Development organization. You and the team will work with leadership, cross functionally with product engineers and leaders across the business to address, measure, and evaluate Palantirs internal strategic and tactical performance. You will analyze cloud utilization, user metrics, stability KPIs, cost optimizations, and ensure best in class support for our developers and product teams. You will use your analytical experience to architect custom KPIs that fit new business needs, combine disparate data sources and distill trends from internal and external data sources. You will provide cost and usage monitoring, recommendations, and advice to help maintain our analytics infrastructure that serves Palantirs core business and development functions. You will use Palantirs platforms just as Palantirs customers do: creating custom applications that enable specific internal workflows, activating vast troves of data that unlock key insights, and creating views that help drive day-to-day outcomes.

Teams throughout 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 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 good communicator who thrives in cross-timezone collaborations and 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, multi-functional exposure, and a chance to create an impact on Palantirs product development, customer satisfaction and bottom line, by driving analysis, and recommending and implementing processes.

Core Responsibilities

• Partner with team members, engineering, product and business leaders to understand current user behavior and patterns across our platform
• Develop KPIs, create project plan, implement Pipelines and design user interfaces to understand delivery and adoption of new products and capabilities
• Monitor pipelines for stability, suggest and enact efficiency initiatives measures
• 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 teams mission and goals
• Use Palantirs platform to create data analysis and supporting visualizations
• Use Palantirs platform to create custom applications and executive dashboards
• Articulate feedback from real-world use for Palantirs software engineering teams to help improve Palantirs overall offerings
• Become an expert on foundational data that underpins Palantirs software development and internal operations
• Respond to strategic, tactical, and analytical questions from within Palantir about data and operations

What We Value

• 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
• Experience with Spark is desirable

What We Require

• Degree in Data Science, Finance, Math, 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 to answer questions
• Experience with BI tools, SQL queries, and organizing and analyzing data