Data Engineer

This role supports the large-scale modernization of legacy systems by leading the migration 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 Proven experience executing large-scale data migration efforts, includin