Key skills
ETLPythonTypeScriptData EngineeringGitVersion ControlPerformance Optimization
About this role
Role Overview
- Lead end-to-end development of tools supporting Palantir deployment
- Build, implement, and maintain scalable data models, pipelines
- Collaborate with data scientists, analysts, technology teams, and business stakeholders
- Troubleshoot and resolve issues within the Palantir environment
- Develop and automate testing frameworks, environment cleanup, and quality checks
- Integrate Palantir with external systems via APIs
- Stay ahead of industry trends by evaluating and incorporating new tools
- Conduct workshops and provide training on Palantir best practices
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience)
- 5+ years of experience in data engineering, with at least 2 years focused on Palantir Foundry or similar big data platforms
- Demonstrated eagerness to learn and experiment with new tools
- Proven expertise in data modeling, including schema design, performance optimization
- Proficiency in Python, TypeScript, and working with APIs for data ingestion and egress
- Strong understanding of ETL processes, data quality frameworks, and version control systems such as Git
- Excellent problem-solving skills
Tech Stack
- ETL
- Python
- TypeScript
Benefits
- access to health, vision and dental insurance
- flexible working schedule
- paid time off policy
- discretionary annual bonus program
- long-term incentive program
- generous 401K matching program