Palantir Data Engineer

1 day ago

Jersey City, NJ, United States Cynet Systems Full time
Job Description:

Pay Range: $55hr - $60hr
  • We are seeking a highly skilled and experienced Senior Data Engineer with deep expertise in Palantir Foundry to lead the design, development, and optimization of scalable data solutions.
  • The ideal candidate will have a strong background in data engineering, cloud platforms, and interactive application development using Palantir Foundry modules.
  • This role involves building robust data pipelines, developing Ontologies, ensuring strong data governance across enterprise systems, and delivering interactive applications and dashboards to support data-driven decision-making across business domains.
Requirement/Must Have:
  • 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).
  • Collaborate with cross-functional teams including data scientists, architects, and business stakeholders to deliver scalable solutions.
  • Implement monitoring, alerting, and recovery mechanisms to ensure pipeline reliability and data integrity.
  • Maintain version control and CI/CD pipelines for automated deployment and rollback procedures.
  • Document architecture, processes, and enhancements using Foundry Documentation App and Confluence.
Qualification And Education:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.

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