Palantir Data Engineer
We are seeking a dynamic Palantir Data Engineer to join our team focused on delivering data-driven solutions in the Property & Casualty domain. You will design scalable applications and solve complex analytics challenges using Palantir Foundry and modern technologies.
This role offers the opportunity to collaborate with cross-functional teams and contribute to impactful data analytics projects. If you are passionate about transforming data into actionable insights and enjoy working in an agile environment, we encourage you to apply.
Responsibilities
- Design and build robust and scalable data-driven applications and solutions to support decision-making across the Property & Casualty domain
- Solve complex big data analytics problems using state-of-the-art technologies within a collaborative team environment
- Translate business requirements into technical solutions with a user-focused mindset and storytelling with data
- Leverage Palantir Foundry to implement solutions and drive Data Analytics and Visualization projects
- Collaborate closely with cross-functional teams using Agile/Scrum development methodologies
- Effectively communicate technical concepts and solutions to non-technical stakeholders and team members
- Continuously improve coding standards and contribute to the technical development of the team
Requirements
- Bachelor’s degree or equivalent in Computer Science, Data Science or a related discipline
- At least 2 years of work experience in data and technology fields
- Solid experience in building data-driven applications with a user-focused mindset and visual storytelling with data
- Expertise in Data Analytics and Visualization techniques
- Proficiency in modern programming languages, such as Python or TypeScript
- Good understanding of SQL and relational database concepts
- Experience with Palantir Foundry is a must
- Familiarity with Scrum and other Agile development approaches
- Strong communication skills in English with the ability to translate technical concepts into business-friendly language
Nice to have
- Familiarity with HTML, CSS, JavaScript and Gradle
- Knowledge of the Insurance Domain, Financial Industry or finance-related functions in other industries
- Knowledge of Microsoft Power BI or Tableau
- Skills in PySpark or distributed data processing frameworks
- Experience with Machine Learning or Generative AI models
