Note: The job is a remote job and is open to candidates in USA. ConsultNet Technology Services and Solutions is a premier national provider of technology talent and solutions, seeking a Senior Data Engineer to design, develop, and support enterprise data solutions within the Palantir Foundry platform. The role focuses on building scalable data pipelines and delivering high-quality data products that enable analytics and AI initiatives across the organization.
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
Skills
- 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
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