Palantir Data Engineer

Requirements

• Data engineering experience with ETL/ELT processesMust
• Palantir Foundry platform experienceMust
• Python or equivalent programming language proficiencyMust
• Cloud platform hands-on experienceMust
• Problem-solving and business analysis skillsMust
• Data security principles and compliance knowledgeMust
• Communication and collaboration across multidisciplinary teamsMust
• English language proficiencyMust
• Palantir Foundry ontology, data lineage, and model management
• Data visualization tools such as Power BI or Palantir visualization
• Machine learning frameworks and libraries integration
• CI/CD practices and pipelines
• Agile development methodologies
• German language proficiency

What you'll do

• Data integration and management across multiple sources
• Design and build scalable data pipelines and infrastructure
• Optimize data workflows and pipeline performance
• Ensure data quality, security, and compliance
• Troubleshoot, monitor, and resolve data issues
• Collaborate with Data Analysts and cross-functional teams
• Team mentoring or leadership experience

About the role

Job Summary: We are looking for a Palantir Data Engineer to join our data engineering team! We are seeking someone with experience in Palantir Foundry and PySpark or Python. In this role, you will design, develop, and maintain complex data pipelines, optimize data workflows within the Palantir platform, and collaborate closely with cross-functional teams to unlock data-driven insights. If you're passionate about working with cutting-edge technologies to tackle complex business challenges, this role is for you! Key Responsibilities: • Design, build, and maintain scalable data infrastructure and pipelines within the Palantir Foundry ecosystem. • Integrate, process, and manage large datasets from multiple sources, ensuring seamless data flow across the organization. • Optimize data workflows and maintain high performance of data pipelines, leveraging Palantir's capabilities. • Collaborate with Data Analysts and other teams to understand and implement technical data requirements. • Ensure data quality, security, and compliance in all data operations. • Troubleshoot, monitor, and resolve data issues to ensure smooth and efficient operations. • Continuously explore and implement best practices in data engineering and keep up-to-date with Palantir's evolving tools and technologies. Requirements Required Skills and Qualifications: • Proven experience in data engineering, data integration, and ETL/ELT processes, ideally within the Palantir platform. • Strong proficiency in programming languages such as Python or equivalent, particularly within a Palantir Foundry environment. • Hands-on experience with cloud platforms • Excellent problem-solving and business analysis skills, with the ability to navigate complex data structures and systems. • Solid understanding of data security principles, compliance, and best practices. • Strong communication and collaboration skills to work across multidisciplinary teams. • English language is required, German language is an advantage. Preferred Qualifications: • Experience with Palantir Foundry, including Foundry's ontology, data lineage, and model management features. • Knowledge of data visualization tools such as Power BI, or Palantir's built-in visualization capabilities. • Familiarity with machine learning frameworks and libraries, and how they integrate within Palantir Foundry. • Experience with CI/CD practices is a plus. • Experience with agile development methodologies and delivering in agile environments. • Previous experience in mentoring or leading a team of data engineers or analysts. Originally posted on Himalayas