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Job Description:

JOB SUMMARY

We are seeking a highly skilled Senior Product Engineer with expertise in Palantir Foundry and Artificial Intelligence (AI) to design, develop, and deliver scalable data products, AI-powered applications, and enterprise analytics solutions. The ideal candidate will have hands-on experience with Palantir Foundry, Ontology modeling, data engineering, and data product development while driving business value through innovative, data-driven solutions.

KEY RESPONSIBILITIES

Design, develop, and deploy end-to-end data products using Palantir Foundry.
Build, manage, and optimize ontology objects, semantic models, and data relationships within Foundry.
Develop and maintain scalable data pipelines and AI-powered applications.
Translate business requirements into technical solutions through close collaboration with stakeholders.
Create robust and efficient data engineering workflows to support enterprise analytics initiatives.
Monitor, maintain, and optimize Foundry-based applications and data products.
Lead technical discussions, provide architectural guidance, and support Agile delivery teams.
Ensure data quality, governance, performance, and scalability across solutions.
Drive continuous improvement and adoption of best practices for data and AI product development.

REQUIRED QUALIFICATIONS

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
Strong hands-on experience with Palantir Foundry.
Proven expertise in Ontology modeling and semantic data structures.
Experience with Palantir Data Engineering capabilities and Foundry data pipelines.
Strong experience in AI-driven application and data product development.
Proficiency in Python programming.
Experience in Data Analysis and Dimensional Data Modeling.
Strong understanding of data architecture, data integration, and enterprise analytics.
Excellent problem-solving, communication, and stakeholder management skills.
Experience working within Agile development environments.

PREFERRED QUALIFICATIONS

Experience with ETL Testing and Data Warehouse Testing.
Exposure to machine learning and advanced analytics solutions.
Experience delivering enterprise-scale data platforms and AI solutions.
Familiarity with cloud-based data ecosystems and modern data engineering practices.

CERTIFICATIONS

Palantir Foundry Certification (Preferred)
Cloud Platform Certifications (AWS, Azure, or GCP) - Preferred
Data Engineering or AI-related Certifications - Preferred

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Senior Product Engineer Illinois, Lisle 09/09/2026 Contract Active

JOB SUMMARY

KEY RESPONSIBILITIES

Design, develop, and deploy end-to-end data products using Palantir Foundry.
Build, manage, and optimize ontology objects, semantic models, and data relationships within Foundry.
Develop and maintain scalable data pipelines and AI-powered applications.
Translate business requirements into technical solutions through close collaboration with stakeholders.
Create robust and efficient data engineering workflows to support enterprise analytics initiatives.
Monitor, maintain, and optimize Foundry-based applications and data products.
Lead technical discussions, provide architectural guidance, and support Agile delivery teams.
Ensure data quality, governance, performance, and scalability across solutions.
Drive continuous improvement and adoption of best practices for data and AI product development.

REQUIRED QUALIFICATIONS

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
Strong hands-on experience with Palantir Foundry.
Proven expertise in Ontology modeling and semantic data structures.
Experience with Palantir Data Engineering capabilities and Foundry data pipelines.
Strong experience in AI-driven application and data product development.
Proficiency in Python programming.
Experience in Data Analysis and Dimensional Data Modeling.
Strong understanding of data architecture, data integration, and enterprise analytics.
Excellent problem-solving, communication, and stakeholder management skills.
Experience working within Agile development environments.

PREFERRED QUALIFICATIONS

Experience with ETL Testing and Data Warehouse Testing.
Exposure to machine learning and advanced analytics solutions.
Experience delivering enterprise-scale data platforms and AI solutions.
Familiarity with cloud-based data ecosystems and modern data engineering practices.

CERTIFICATIONS

Palantir Foundry Certification (Preferred)
Cloud Platform Certifications (AWS, Azure, or GCP) - Preferred
Data Engineering or AI-related Certifications - Preferred

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Find & Apply For Data Engineer Jobs in Lisle, Illinois

Senior Product Engineer

SAP Syniti Engineer