Data Engineer – JD Edwards Remediation

Must be US Citizen or Green Card holder – No C2C or Third Parties. Location: Philadelphia, PA – Center City / near 30th Street Station. Hybrid – Onsite 4 days per week. 6–12 Month Contract-to-Hire.

Position Overview

We are seeking an experienced Data Engineer to support a large-scale JD Edwards remediation initiative for our client in Philadelphia. This individual will provide hands-on data engineering support focused on improving, transforming, integrating, and validating data within the JD Edwards environment and its surrounding systems. The ideal candidate will have a strong background in data engineering, ETL/data integration, SQL, data quality, and enterprise systems, with previous experience supporting JD Edwards (JDE) environments highly preferred.

Responsibilities

• Provide hands-on data engineering support for a JD Edwards remediation and modernization initiative.
• Analyze existing JD Edwards data structures, integrations, dependencies, and data-quality issues.
• Design, develop, and maintain ETL/ELT pipelines supporting data migration, transformation, and remediation.
• Extract, transform, cleanse, reconcile, and validate data from JD Edwards and related enterprise systems.
• Develop complex SQL queries, scripts, and data transformation processes.
• Identify data inconsistencies, integrity issues, duplicates, and other data-quality concerns and implement remediation solutions.
• Support data migration and integration between JD Edwards and downstream/upstream applications, databases, and reporting platforms.
• Partner with technical teams, business stakeholders, and functional JD Edwards resources to understand data requirements and troubleshoot issues.
• Perform data validation and reconciliation to ensure completeness and accuracy throughout the remediation process.
• Document data mappings, transformation logic, technical processes, and system dependencies.

Qualifications

• 5+ years of professional Data Engineering experience.
• Strong hands-on experience with SQL, relational databases, ETL/ELT, data transformation, and data integration.
• Experience working with large, complex enterprise datasets.
• Strong understanding of data quality, data cleansing, reconciliation, and remediation.
• Experience developing and troubleshooting data pipelines and integrations.
• Previous experience supporting JD Edwards / JDE data environments strongly preferred.
• Experience with ERP data migrations, system remediation, or modernization initiatives preferred.
• Ability to work closely with both technical and functional stakeholders.
• Strong analytical, troubleshooting, and problem-solving skills.

Preferred Experience

• JD Edwards EnterpriseOne or World.
• ERP data migration or remediation projects.
• Data warehousing and reporting environments.
• Python or other scripting languages.
• Cloud-based data platforms or modern ETL/data integration technologies.