Design, develop, and optimize scalable data solutions for clients across various industries
Requirements
- 8+ years of experience in data engineering, with 5+ years in Palantir Foundry and AIP working knowledge
- Proficiency in Palantir Foundry modules: Ontology, Workshop, Quiver, Contour, Taurus
- Strong programming skills in Python, PySpark, SQL, and TypeScript
- Experience with AWS cloud services including S3, Lambda, Glue, and Redshift
- Knowledge of data governance, access control models, and regulatory compliance frameworks
- Experience in building dashboards and visualizations using Power BI, Tableau, and Foundry Dashboards
Responsibilities
- Design and implement complex pipelines using Palantir Foundry’s Pipeline Builder
- Develop and manage Ontologies, Object Types, Views, and Actions to support semantic data modeling and graph-based navigation
- Build interactive applications using Foundry Workshop, Slate, and AIP, integrating UI workflows with Ontology-backed data
- Conduct time-series and ad-hoc analysis using Quiver and Contour, and leverage Taurus for advanced data modeling and visualization
- Optimize data models and transformations using PySpark, SQL, and Foundry DSL for high-performance analytics
- Integrate machine learning models into Foundry workflows for predictive analytics and real-time decision support
- Ensure data governance, lineage tracking, and compliance with privacy regulations (GDPR, HIPAA, SOX)
Other
- Citizen/CPT/OPT candidates only
- Ability to work in both Waterfall and Agile environments
- Comprehensive benefits for all full-time employees, including medical, dental, and vision insurance; a 401(k) plan with employer matching; paid time off (PTO); paid parental leave; and mentorship to help you take your career to the next level
- Must pass a pre-employment drug screening as a condition of hire
