Data Engineer- Remote

Overview In this role you lead the modernization of legacy systems by migrating documents to cloud-based platforms and enabling cross-system data flows. You will implement structured, analytics-ready data from unstructured sources, build MuleSoft integrations, and contribute to Salesforce Data 360 efforts. You work within an Agile team to ensure governance, quality, and secure data handling across a mission-critical enterprise platform. ResponsibilitiesLead end-to-end data migration from legacy systems to cloud platforms with data mapping, transformation, and validation (Salesforce-centric)Convert unstructured, document-heavy data into structured, analytics-ready formats using Document AIImplement data quality processes (cleansing, deduplication, reconciliation) post-migrationSupport phased migration and cutover with minimal disruptionDesign, build, and maintain MuleSoft integrations and API development for real-time and batch exchangeApply DataWeave for data transformation and troubleshoot cross-system data flowsContribute to Salesforce Data 360 implementation including data harmonization and identity resolutionEnsure data ingestion, lineage, metadata management, and traceabilityEnsure compliance with data governance, privacy, and security (PII)Collaborate in Agile teams; assist testing, documentation, and audit readiness Key requirements6+ years in data engineering, data migration, or data integration2+ years hands-on Salesforce data migrations (data modeling, loading, relational datasets)2+ years experience implementing data quality, validation, and reconciliation during migrationsU.S. Citizenship required for federal contract; ability to obtain Public Trust clearance; lived in the U.S. for 3 of last 5 yearscollaboration in Agile teamscross-functional collaborationcommunicationSalesforce data migrations (data modeling, Data Loader, APIs)MuleSoft Anypoint Platform; API development; DataWeaveDocument AI / IDP for extracting structured data from documents