Delta Point is seeking a Data Engineer to support the development and maintenance of enterprise data solutions. This role focuses on designing, building, and optimizing back-end data pipelines that transform raw data into curated, business-ready data assets. The ideal candidate possesses a proven track record of developing scalable ETL/ELT processes, integrating data from complex enterprise systems, and delivering structured data sources that support analytics and decision-making. 

Key Responsibilities 

• Design, develop, and maintain automated ETL/ELT data pipelines. 
• Integrate data from multiple enterprise systems while ensuring data quality and integrity. 
• Develop Python-based data processing and automation solutions. 
• Build curated data sources supporting finance, supply chain, HR, operations, and other business functions. 
• Collaborate with stakeholders to define requirements and deliver scalable solutions. 
• Troubleshoot and optimize data workflows for performance and reliability. 
• Document data architectures, workflows, and engineering processes. 

• Bachelor's degree in a related field or equivalent experience. 
• 3+ years of professional experience building ETL/ELT pipelines and back-end data solutions. 
• Strong proficiency in Python for data engineering and automation. 
• Experience with low-code ETL/data integration tools. 
• Experience transforming complex enterprise data into curated business-ready datasets. 
• Experience with source control and repository management. 
• Strong analytical and problem-solving skills. 

Preferred Qualifications

• Hands-on experience with Palantir Foundry or similar enterprise data integration platforms. 
• Experience working with SAP, ERP, or related enterprise data structures. 
• Knowledge of modern data architecture and governance principles. 
• Experience supporting finance, supply chain, HR, logistics, or operational data domains.