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Pay Range: $75hr - $80hr
- Responsible for designing and implementing enterprise-scale data solutions using the Palantir Foundry platform.Â
- The role involves developing data pipelines, ontology models, AI-driven workflows, and advanced analytics solutions while collaborating with business stakeholders to deliver scalable and secure data applications.
Responsibilities:
- Design and implement end-to-end data solutions using the Palantir Foundry platform.
- Build and manage data pipelines for ingestion, transformation, and orchestration.
- Develop and maintain Foundry Ontology models to represent business entities and relationships.
- Work on Contour and AIP for AI and machine learning driven workflows and decision support.
- Utilize Quiver for advanced analytics and data exploration use cases.
- Collaborate with business stakeholders to translate requirements into data-driven applications and workflows.
- Ensure data governance, lineage, security, and performance optimization.
- Drive best practices for data engineering, architecture, and deployment within the Palantir ecosystem.
- Support production deployments, troubleshooting, and optimization of pipelines and applications.
- Lead solution discussions and provide technical guidance to project teams.
Requirement/Must Have:
- 10+ years of overall IT experience with strong focus on data and platform engineering.
- Hands-on experience with Palantir Foundry.
- Experience with Pipeline Builder and Code Repositories within Foundry.
- Experience with Ontology modeling.
- Experience with Contour and AIP.
- Experience with Quiver.
- Strong expertise in data engineering and pipeline development.
- Strong expertise in data modeling and schema design.
- Knowledge of distributed data processing concepts.
- Proficiency in Python and SQL.
- Experience with data governance and data quality frameworks.
- Ability to work in client-facing environments and drive technical discussions.
Should Have:
- Experience with AWS cloud platform.
- Exposure to AI and machine learning integration and use-case development.
- Knowledge of data mesh and data product architecture.
- Strong understanding of enterprise data ecosystems.
- Experience working in onsite-offshore collaboration models.
Skills:
- Palantir Foundry.
- Pipeline Builder.
- Ontology modeling.
- Contour and AIP.
- Quiver.
- Data engineering.
- Data pipeline development.
- Data modeling and schema design.
- Distributed data processing.
- Python.
- SQL.
- Data governance and data quality.
- Cloud platforms including AWS.
- AI and machine learning integration.
- Stakeholder communication and leadership.
Qualification And Education:
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or related field preferred.
- Advanced certifications or cloud certifications preferred.Â
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.