Data Engineer (Remote)

Description

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 *...