/PALANTIR FOUNDRY DEVELOPER

PALANTIR FOUNDRY DEVELOPER

Polandplvia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
2 months ago
// Seniority
mid
// Experience
3+ years

About the Role

At LeverX, we have had the privilege of delivering 1,500+ projects. With 20+ years in the market, our team of 2,200+ is strong, reliable, and always evolving: learning, growing, and striving for excellence. We are looking for a Palantir Foundry Developer to join us. Let’s see if we are a good fit for each other! WHAT WE OFFER: Impactful use-case delivery on real data. Possibility to progress into a Team Lead role: mentoring, design facilitation, and coordination. Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc. Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies. Global clients based in Europe and the US, including Fortune 500 companies. Employment security: We hire for our team, not just for a specific project. If your project ends, we will find you a new one. Healthy work atmosphere: On average, our employees stay in the company for 4+ years. REQUIREMENTS: 3+ years in data/analytics engineering or software development. Hands-on experience with Palantir Foundry (pipelines and/or applications). Proficiency in Python and SQL. Confidence with Git. Ability to translate business requirements into working solutions. English B1+. NICE-TO-HAVE SKILLS: Experience with data modeling/governance and performance basics. Familiarity with adjacent stacks (e.g., Databricks/Snowflake) and BI tools. Willingness to mentor and take on light coordination as needed. RESPONSIBILITIES: Build and maintain data pipelines and transformations in Foundry. Implement application logic, views, and access controls. Validate data and ensure basic documentation and support. Work with stakeholders to clarify requirements and iterate on features.

Tech Stack

Palantir FoundryPythonSQLGitdata pipelinesdata transformations

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