DataEngineer

**Job Summary** This role supports the large-scale modernization of legacy systems by leading the migration of over 10TB of documentation and records into a cloud-based environment. The position focuses on transforming document-heavy workflows into structured, digital processes, while enabling seamless data integration across systems using MuleSoft APIs. The work directly supports enhanced analytics, reporting, and operational efficiency for a mission-critical enterprise platform. **Responsibilities** * Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping, transformation, and validation (Salesforce-centric). * Analyze and convert unstructured, document-heavy data into structured, analytics-ready formats using Document AI. * Implement data quality processes (cleansing, deduplication, reconciliation) to ensure accuracy and completeness post-migration. * Support phased migration and system cutover with minimal operational disruption. * Design, build, and maintain MuleSoft integrations, including API development for real-time and batch data exchange. * Apply data transformation logic (e.g., DataWeave) and troubleshoot integration/data flow issues across systems. * Contribute to Salesforce Data 360 implementation, including data harmonization, identity resolution, and unified profiles. * Ensure proper data ingestion, lineage, metadata management, and traceability across the ecosystem. * Ensure compliance with data governance, privacy, and security requirements (e.g., PII). * Collaborate in Agile teams; support testing, documentation, and audit readiness across migration and integration efforts. **Required Qualifications** * U.S. Citizenship required due to federal contract requirements * Ability to obtain and maintain a Public Trust clearance * Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years * 6+ years of experience in data engineering, data migration, or data integration roles * Prove