This engineer will play a foundational role in shaping, developing, and scaling ICON’s enterprise data platform within Palantir Foundry, owning the ingestion, modeling, and activation of data
Job Summary
This engineer will play a foundational role in shaping, developing, and scaling ICON’s enterprise data platform within Palantir Foundry, owning the ingestion, modeling, and activation of data.
You will work closely with teams across Supply Chain & Manufacturing, Logistics, Engineering Support Services, Software, Field Operations and Technology R&D to centralize high-value data sources, model them into scalable assets, and enable business-critical use cases.
As a senior member, guide junior data engineers in writing clean, maintainable pipeline code and establish best practices for code versioning, documentation of data transformations, and general data engineering standards within the team.
Matching Summary
This engineer will play a foundational role in shaping, developing, and scaling ICON’s enterprise data platform within Palantir Foundry, owning the ingestion, modeling, and activation of data.
Skills & Requirements
Must-have
ETL/ELT pipeline development
Palantir Foundry
Python for data processing
SQL for data transformation
Data modeling principles
Data quality and validation
Nice-to-have
Business curiosity
Bias toward action
Cross-functional collaboration
Mentorship and best practices
DevOps and CI/CD for data pipelines
Key Requirements
7+ years of experience in data engineering or ETL development
Advanced Python skills
Solid SQL skills
Experience with enterprise data sources (ERP, CRM, HRIS, IoT)
Hands-on experience with a modern data platform or pipeline orchestration tool
Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent practical experience)