Submit Resume

Back Submit

Senior Product Engineer

  • Illinois, Lisle

  • 09/09/2026

  • Contract

  • Active

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

.

.

.