Senior Product Engineer

Compunnel Inc.; Lisle (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Compunnel Inc. seeks a Senior Product Engineer with deep Palantir Foundry expertise to design scalable data products and AI-powered applications. You will model ontologies, build semantic data structures, and develop enterprise analytics pipelines.

You will collaborate with stakeholders to translate requirements into robust technical solutions, ensure data quality and governance, and mentor Agile teams while delivering high-impact data platforms.

Qualifications

• Bachelor’s degree in Computer Science, IT, Data Science, Engineering, or related field.
• Hands-on Palantir Foundry experience required.
• Ontology modeling and semantic data structures expertise.
• Proficiency in Python and data engineering for enterprise analytics.

Responsibilities

• Design, develop, and deploy data products using Palantir Foundry.
• Build and optimize ontology objects and semantic models.
• Develop scalable data pipelines and AI-powered applications.
• Translate business needs into technical solutions with stakeholders.
• Ensure data quality, governance, and performance across solutions.
• Lead architectural discussions and support Agile delivery teams.
• Drive best-practices for data and AI product development.

Skills

Palantir Foundry

Ontology modeling

Semantic data structures

Python

Data analysis

Dimensional data modeling

AI-driven development

Data engineering workflows

Agile

Stakeholder management

Education

Bachelors degree

Tools

Cloud platforms

Job description

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

• Cloud Platform Certifications (AWS, Azure, or GCP) – Preferred
• Data Engineering or AI-related Certifications – Preferred