Palantir Foundry - Senior Data Engineer

ConsultNet Technology Services and Solutions is a premier national provider of technology talent and solutions. They are seeking a Senior Data Engineer to design, develop, and support enterprise data solutions within the Palantir Foundry platform, focusing on building scalable data pipelines and delivering high-quality data products that enable analytics and AI initiatives.

Responsibilities:

• Design, develop, and maintain scalable data pipelines within Palantir Foundry, from source ingestion through production-ready datasets
• Build reusable data transformation frameworks that support enterprise reporting, analytics, AI, and operational workflows
• Optimize data processing for performance, scalability, and reliability across large and complex datasets
• Develop and maintain business-focused data models and Foundry ontologies that accurately represent enterprise processes and relationships
• Partner with business stakeholders to translate functional requirements into scalable, governed data structures
• Promote standardized data models that encourage consistency and reuse across multiple teams and applications
• Implement data validation, monitoring, and testing processes to ensure the accuracy and integrity of enterprise data products
• Support production environments by troubleshooting data pipeline issues and identifying opportunities for continuous improvement
• Ensure data solutions comply with enterprise standards for governance, lineage, security, and access management
• Follow software engineering best practices including version control, automated testing, documentation, and deployment processes
• Contribute reusable frameworks, coding standards, and technical best practices that improve overall engineering efficiency
• Provide technical leadership and collaborate with fellow engineers on architecture, design, and implementation decisions
• Work closely with analytics, AI, product, and business teams to deliver data solutions that support enterprise initiatives
• Translate complex technical concepts into clear recommendations for non-technical stakeholders
• Balance speed of delivery with long-term scalability, maintainability, and governance objectives

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field, or equivalent professional experience
• Four or more years of experience designing and supporting enterprise data engineering solutions in production environments
• Hands-on experience with Palantir Foundry or comparable enterprise data platforms
• Strong programming skills in Python and SQL; experience with Spark or PySpark is highly desirable
• Experience building scalable data pipelines, transformation frameworks, and enterprise data products
• Strong understanding of data modeling, governance, data quality, and enterprise data architecture principles
• Demonstrated ability to convert business requirements into scalable technical solutions
• Excellent communication, collaboration, and problem-solving skills
• Experience designing and implementing ontology-driven data models within Palantir Foundry
• Experience supporting large-scale enterprise data ecosystems and mission-critical production environments
• Familiarity with cloud-native data platforms, modern data engineering technologies, and distributed computing frameworks
• Experience mentoring junior engineers, conducting code reviews, or providing technical leadership on enterprise data initiatives